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Website Evaluation Using Opinion Mining
 
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Get this project at http://nevonprojects.com/website-evaluation-using-opinion-mining/ Here we propose an advanced Website Evaluation system that rates the website based on the opinions mined from users comments on respective sites
Views: 4952 Nevon Projects
Opinion Mining For Social Networking Sites Java Project
 
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Opinion Mining For Social Networking Sites Java Project Download Project Code, Report and PPT :+91 7702177291, +91 9052016340 Email : [email protected] Website : www.1000projects.org
Views: 257 1000 Projects
Fake Product Review Monitoring
 
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Get this project at http://nevonprojects.com/fake-product-review-monitoring-and-removal-for-genuine-online-product-reviews-using-opinion-mining/ System allows admin to detect fake reviews posted online to ensure genuine product rating system
Views: 5958 Nevon Projects
Twitter Sentiment Analysis Opinion Mining Projects
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/
Views: 34 PHD PROJECTS
Movie Success Prediction Using Data Mining Project
 
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Get the project at http://nevonprojects.com/movie-success-prediction-using-data-mining/ The system predicts the success of a movie by mining past movie success data through a prediction methodology and data mining algorithms
Views: 18949 Nevon Projects
Opinion Mining & Sentiment Analysis for E-Commerce Search - Suyash Sonawane & John Castillo, Wayfair
 
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Presented at Activate 2018 Lucidworks' Fusion platform provides the enterprise-grade capabilities needed to design, develop, and deploy intelligent search apps - at any scale. For additional tips, check out Lucidworks blog: http://lucidworks.com/blog Need advanced search capabilities now? Download Fusion: https://lucidworks.com/download/ Join an upcoming Fusion or Solr training: https://lucidworks.com/resources/solr-training-and-consulting/ Contact Sales for a free consultation: https://lucidworks.com/company/contact/
Views: 87 Lucidworks
How data mining works
 
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In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 218605 Thales Sehn Körting
Interview with a Data Scientist
 
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This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 290545 Udacity
No Churn Telecom - DataMites Machine Learning Project
 
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If you are looking for #Machine #Learning #Projects, then you can try above project, For more projects: https://www.youtube.com/watch?v=_il4Q7VnpoI&list=PLeRUz657THGgQbZpzwN9IlbTe9ZWNMo86 Visit: https://datamites.com/ Datamites is providing Machine Learning training in Bangalore, Chennai, Pune and Hyderabad along with Live project work,. Course Details: 4 - 6 Weekend Classroom Training Cloud Lab for Practice, Then 3 to 6 Months Live Projects Work Placements Assistance For more details visit below pages, Bangalore: https://datamites.com/machine-learning-training/courses-bangalore/ Pune: https://datamites.com/machine-learning-training/courses-pune/ Hyderabad: https://datamites.com/machine-learning-training/courses-hyderabad/ Datamites recently launches AI training in Bangalore, if you are interested please enroll here: https://datamites.com/artificial-intelligence-training/courses-bangalore/
Views: 269 DataMites
How Big Data Is Used In Amazon Recommendation Systems | Big Data Application & Example | Simplilearn
 
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This Big Data Video will help you understand how Amazon is using Big Data is ued in their recommendation syatems. You will understand the importance of Big Data using case study. Recommendation systems have impacted or even redefined our lives in many ways. One example of this impact is how our online shopping experience is being redefined. As we browse through products, the Recommendation system offer recommendations of products we might be interested in. Regardless of the perspectives, business or consumer, Recommendation systems have been immensely beneficial. And big data is the driving force behind Recommendation systems. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 27303 Simplilearn
Complementary Aspect-based Opinion Mining
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/clickmyproject Mail Us: [email protected]
Views: 91 Clickmyproject
Sentiment analysis: from opinion mining to human-agent interaction | Final Year Projects 2016
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://myprojectbazaar.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/myprojectbazaar Mail Us: [email protected]
Views: 52 myproject bazaar
Final Year Projects 2015 | Twitter data analysis by means of Strong
 
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Including Packages ===================== * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 3297 Clickmyproject
Data mining demo
 
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Read more about Work Package 4 "Decision Rules and Evidence" at http://www.transformproject.eu/about/work-packages/ Read the Work Package 4 deliverables and reports at http://www.transformproject.eu/dissemination/deliverables/
YouTube for Opinion Mining Research at the USC Institute for Creative Technologies
 
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University of Southern California Institute for Creative Technologies computer scientist Louis-Philippe Morency is analyzing online videos to capture the nuances of how people communicate opinions through words and actions. For Morency, who is also research assistant professor at the USC Viterbi School of Engineering, online videos are the latest tool in the growing field of opinion mining. In his current research -- figuring out how to identify when someone is sharing a positive, negative or neutral opinion - YouTube provides a limitless library of likes and loathes. Morency and his colleagues created a proof-of-concept data set of about 50 YouTube videos that feature people expressing their opinions. The videos were input into a computer program Morency developed that zeroes in on aspects of the speaker's language, speech patterns and facial expressions to determine the type of opinion being shared. Morency's small sample has already identified several advantages to analyzing gestures and speech patterns over looking at writing alone. First, people don't always use obvious polarizing words like love and hate each time they express an opinion. So software programmed to search for these "obvious" occurrences can miss many other valuable posts. Also, Morency found that people smile and look at the camera more when sharing a positive view. Their voices become higher pitched when they have a positive or negative opinion, and they start to use a lot more pauses when they are neutral. "These early findings are promising but we still have a long way to go," said Morency. "What they tell us is that what you say, how you say it, and the gestures you make while speaking all play a role in pinpointing the correct sentiment." Morency first demonstrated his YouTube model at the International Conference on Multimodal Interaction in Spain last fall. He has since expanded the data set to include close to 500 videos and will submit results from this larger sample for publication later this year. The YouTube opinion data set is also available to other researchers by contacting Morency's Multimodal Communication and Machine Learning lab at ICT. Potential commercial uses could include for marketing or survey purposes. In the academic community, Morency foresees his research and database being resources for scientists working to understand human non-verbal and verbal communication, helping to identify conditions like autism or depression or to build more engaging educational systems. For more information go to: http://multicomp.ict.usc.edu/
Views: 2009 USCICT
evaluation of predictive data mining algorithms in soil data classification for- IEEE PROJECTS 2018
 
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evaluation of predictive data mining algorithms in soil data classification for optimized crop recom- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project NETWORK AND SERVICE MANAGEMENT 1. Bacterial foraging optimization based Radial Basis Function Neural Network (BRBFNN) for identification and classification of plant leaf diseases: An automatic approach towards Plant Pathology(12 February 2018 ) 2. Fault-Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks (08 June 2018) SOFTWARE ENGINEERING 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications
Sentiment analysis and opinion mining, Franco Tuveri
 
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L'Opinion Mining, o Sentiment Analysis, indica il processo di estrazione di informazioni legate alle opinioni espresse in rete da fruitori di servizi, prodotti ed eventi. Il seminario tratta le tematiche legate all'Opinion Mining secondo un approccio linguistico. Si parla di strutture linguistiche, del loro ruolo nell'interpretazione semantica dei testi e dei diversi campi di applicazione dell'Opinion Mining spaziando dalla "brand reputation" al "voice of consumers", o "opinion monitoring", sino al "real marketing".
Views: 494 CRS4video
AI and Opinion Mining
 
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AI and Opinion Mining Abstract: The advent of Web 2.0 and social media content has stirred much excitement and created abundant opportunities for understanding the opinions of the general public and consumers toward social events, political movements, company strategies, marketing campaigns, and product preferences. Many new and exciting social, geopolitical, and business-related research questions can be answered by analyzing the thousands, even millions, of comments and responses expressed in various blogs (such as the blogosphere), forums (such as Yahoo Forums), social media and social network sites (including YouTube, Facebook, and Flikr), virtual worlds (such as Second Life), and tweets (Twitter). Opinion mining, a subdiscipline within data mining and computational linguistics, refers to the computational techniques for extracting, classifying, understanding, and assessing the opinions expressed in various online news sources, social media comments, and other user-generated content. Sentiment analysis is often used in opinion mining to identify sentiment, affect, subjectivity, and other emotional states in online text. SIMILAR VIDEOS: https://www.youtube.com/watch?v=AZI6oHAEtU8 https://www.youtube.com/watch?v=o0mT99zKAqA https://www.youtube.com/watch?v=X7jZtTq74WU https://www.youtube.com/watch?v=EO1rgFk07kQ https://www.youtube.com/watch?v=ACtU9aaoh_8 https://www.youtube.com/watch?v=cbZFKV4A0X8 https://www.youtube.com/watch?v=AWcD3pIGJjI https://www.youtube.com/watch?v=0y5w5CbMips https://www.youtube.com/watch?v=rhCtDFPNHCE https://www.youtube.com/watch?v=t41nfgBy8pY https://www.youtube.com/watch?v=LLUlzVlIJOw https://www.youtube.com/watch?v=mSjS4IGyrW0 https://www.youtube.com/watch?v=1TnAqAkxuws https://www.youtube.com/watch?v=nxoUUe8rrtQ https://www.youtube.com/watch?v=XBzwg1EY2SI https://www.youtube.com/watch?v=RRVWWUd9NLk https://www.youtube.com/watch?v=Es0eHDHksiM https://www.youtube.com/watch?v=x5CAAPGuo3g https://www.youtube.com/watch?v=sQKIpfEpQmo https://www.youtube.com/watch?v=hcmrJkwn1T4 https://www.youtube.com/watch?v=cNw3u68a424 https://www.youtube.com/watch?v=6sKfA1vFZBA https://www.youtube.com/watch?v=cFsryGMYxIE For More Videos - https://www.youtube.com/channel/UCR5lsF-lDQu6rVYVJPqNn6Q SOCIAL HANDLES: SCOOP IT- http://www.scoop.it/u/1croreprojects FACEBOOK - https://www.facebook.com/1Croreprojectsieeeprojects/ TWITTER - https://twitter.com/1crore_projects LINKEDIN - https://www.linkedin.com/in/1-crore-projects-ba982a118/ GOOGLE+ - https://plus.google.com/u/0/105783610929019156122 PINTEREST - https://in.pinterest.com/onecroreproject/ BLOG - 1croreprojectz.blogspot.com DOMAIN PROJECTS DOTNET - http://www.1croreprojects.com/dotnet-ieee-project-centers-in-chennai.php JAVA - http://www.1croreprojects.com/java-ieee-projects-chennai.php EMBEDDED - http://www.1croreprojects.com/embedded-systems-ieee-projects-chennai.php MATLAB - http://www.1croreprojects.com/matlab-ieee-projects-chennai.php NS2 - http://www.1croreprojects.com/ns2-ieee-projects-chennai.php VLSI -http://www.1croreprojects.com/vlsi-ieee-projects-chennai.php FOR PROJECTS - http://www.1croreprojects.com/ BUSINESS CONTACT: Email - [email protected] We are always open for all business prospects. You can get in touch which us, using the above mentioned e-mail id and contact number. ABOUT 1CROREPROJECTS: 1Crore Projects is company providing outstanding, cost-effective, effective result authorized on solutions. Our objective is to create solutions that enhance company process and increase come back in most possible time. We started truly to provide solutions to the customers all over the world. We have been effectively in providing solutions for different challenges across a wide range of market and customers propagate across the globe.
Views: 51 1 Crore Projects
unstructured datamining of hotel reviews
 
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this a project on dataming for opinion mining analysis of the hotel reviews and generate the new rating model fo hotels.
Views: 352 subash khati
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 106517 LearnEveryone
Sentimental Analysis in R
 
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Sentiment analysis or opinion mining is the computational study of people’s opinions, sentiments, attitudes, and emotions expressed in written language. Also it refers to the task of natural language processing to determine whether a piece of text contains some subjective information and what subjective information it expresses, i.e., whether the attitude behind this text is positive, negative or neutral. Understanding the opinions behind user-generated content automatically is of great help for commercial and political use, among others. The task can be conducted on different levels, classifying the polarity of words or sentences. It is one of the most active research areas in natural language processing and text mining in recent years. Its popularity is mainly due to two reasons. First, it has a wide range of applications because opinions are central to almost all human activities and are key influencers of our behaviors. Whenever we need to make a decision, we want to hear others’ opinions. Second, it presents many challenging research problems, which had never been attempted before the year 2000. Part of the reason for the lack of study before was that there was little opinionated text in digital forms. It is thus no surprise that the inception and the rapid growth of the field coincide with those of the social media on the Web. In fact, the research has also spread outside of computer science to management sciences and social sciences due to its importance to business and society as a whole.
Views: 4112 Mavericks 045_049_078
Online News Popularity Demo - Data Mining Project Fall 2015 OU
 
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Demonstration of a project in CS 5593 Data Mining in Fall 2015 at the University of Oklahoma for the Classification of Online News Popularity based on the "Online News Popularity Data Set" in the UCI Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets/Online+News+Popularity). The project was developed by Maxime Brisse, Aitor Algorta and Sven Erik Jeroschewski.
Views: 674 Sven
Monitoring Fake Product Reviews Java Project
 
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Monitoring Fake Product Reviews Java & MySQL Project
Views: 100 1000 Projects
evaluation of predictive data mining algorithms in soil data classification for optimized crop
 
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evaluation of predictive data mining algorithms in soil data classification for optimized crop recom - IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS 1. RRPhish Anti-Phishing via Mining Brand Resources Request 2. Confidence-interval Fuzzy Model-based Indoor Localization COMPUTER-BASED MEDICAL SYSTEMS (CBMS) 1. Population Health Management exploiting Machine Learning Algorithms to identify High-Risk Patients (23 July 2018) PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1. Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition ( April 1 2018 ) 2. Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection 3. Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search SOFTWARE ENGINEERING,COMPUTER GRAPHICS 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events 3. Performance Specification and Evaluation with Unified Stochastic Probes and Fluid Analysis 4. Trustrace: Mining Software Repositories to Improve the Accuracy of Requirement Traceability Links 5. Amorphous Slicing of Extended Finite State Machines 6. Test Case-Aware Combinatorial Interaction Testing 7. Using Timed Automata for Modeling Distributed Systems with Clocks: Challenges and Solutions 8. EDZL Schedulability Analysis in Real-Time Multicore Scheduling 9. Ant Colony Optimization for Software Project Scheduling and Staffing with an Event-Based Scheduler 10. Locating Need-to-Externalize Constant Strings for Software Internationalization with Generalized String-Taint Analysis 11. Systematic Elaboration of Scalability Requirements through Goal-Obstacle Analysis 12. Centroidal Voronoi Tessellations- A New Approach to Random Testing 13. Ranking and Clustering Software Cost Estimation Models through a Multiple Comparisons Algorithm 14. Pair Programming and Software Defects--A Large, Industrial Case Study 15. Automated Behavioral Testing of Refactoring Engines 16. An Empirical Evaluation of Mutation Testing for Improving the Test Quality of Safety-Critical Software 17. Self-Management of Adaptable Component-Based Applications 18. Elaborating Requirements Using Model Checking and Inductive Learning 19. Resource Management for Complex, Dynamic Environments 20. Identifying and Summarizing Systematic Code Changes via Rule Inference 21. Generating Domain-Specific Visual Language Tools from Abstract Visual Specifications 22. Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers 23. On Fault Representativeness of Software Fault Injection 24. A Decentralized Self-Adaptation Mechanism for Service-Based Applications in the Cloud 25. Coverage Estimation in Model Checking with Bitstate Hashing 26. Synthesizing Modal Transition Systems from Triggered Scenarios 27. Using Dependency Structures for Prioritization of Functional Test Suites
Views: 11 MICANS VIDEOS
How to Build a Text Mining, Machine Learning Document Classification System in R!
 
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We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
Views: 162232 Timothy DAuria
Automated Phrase Mining from Massive Text Corpora
 
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2018 IEEE Transaction on Knowledge and Data Engineering For More Details::Contact::K.Manjunath - 09535866270 http://www.tmksinfotech.com and http://www.bemtechprojects.com 2018 and 2019 IEEE [email protected] TMKS Infotech,Bangalore
Views: 263 manju nath
Big Data Analytics using Python and Apache Spark | Machine Learning Tutorial
 
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Apache Spark is the most active Apache project, and it is pushing back Map Reduce. It is fast, general purpose and supports multiple programming languages, data sources and management systems. More and more organizations are adapting Apache Spark to build big data solutions through batch, interactive and stream processing paradigms. The demand for trained professionals in Spark is going through the roof. Being a new technology, there aren't enough training sources to provide easy guidance on building end-to-end solutions. Section 1: Introduction Lecture 1 About the course 08:42 Lecture 2 About V2 Maestros 01:39 Lecture 3 Resource Bundle Article Section 2: Overview Lecture 4 Hadoop Overview 10:06 Lecture 5 HDFS Architecture 14:46 Lecture 6 Map Reduce - How it works 17:24 Lecture 7 Map Reduce - Example 16:46 Lecture 8 Hadoop Stack 06:27 Lecture 9 What is Spark? 14:03 Lecture 10 Spark Architecture - Part 1 13:23 Lecture 11 Spark Architecture - Part 2 13:25 Lecture 12 Installing Spark and Setting up for Python 12:05 Quiz 1 Hadoop and Spark Architecture 5 questions Section 3: Programming with Spark Lecture 13 Spark Transformations 11:33 Lecture 14 Spark Actions 15:04 Lecture 15 Advanced Spark Programming 10:10 Lecture 16 Python - Spark Programming examples 1 16:11 Lecture 17 Python - Spark Programming Examples 2 17:18 Quiz 2 Data Engineering with Spark 5 questions Lecture 18 PRACTICE Exercise : Spark Operations Article Section 4: Spark SQL Lecture 19 Spark SQL Overview 10:03 Lecture 20 Python - Spark SQL Examples 16:16 Quiz 3 Spark SQL 2 questions Lecture 21 PRACTICE Exercise : Spark SQL Article Section 5: Spark Streaming Lecture 22 Streaming with Apache Spark 15:53 Lecture 23 Python - Spark Streaming examples 17:47 Quiz 4 Spark Streaming 3 questions Section 6: Real time Data Science Lecture 24 Basic Elements of Data Science 11:51 Lecture 25 The Dataset 10:44 Lecture 26 Learning from relationships 12:55 Lecture 27 Modeling and Prediction 09:31 Lecture 28 Data Science Use Cases 07:47 Lecture 29 Types of Analytics 12:08 Lecture 30 Types of Learning 17:16 Lecture 31 Doing Data Science in real time with Spark 07:39 Quiz 5 Spark Data Science 5 questions Section 7: Machine Learning with Spark Lecture 32 Spark Machine Learning 12:18 Lecture 33 Analyzing Results and Errors 13:46 Lecture 34 Linear Regression 19:00 Lecture 35 Spark Use Case : Linear Regression 18:33 Lecture 36 Decision Trees 10:42 Lecture 37 Spark Use Case : Decision Trees Classification 14:58 Lecture 38 Principal Component Analysis 07:28 Lecture 39 Random Forests Classification 10:31 Lecture 40 Python Use Case : Random Forests & PCA 13:16 Lecture 41 Text Preprocessing with TF-IDF 14:53 Lecture 42 Naive Bayes Classification 19:21 Lecture 43 Spark Use Case : Naive Bayes & TF-IDF 07:26 Lecture 44 K-Means Clustering 11:53 Lecture 45 Spark Use Case : K-Means 14:26 Lecture 46 Recommendation Engines 11:55 Lecture 47 Spark Use Case : Collaborative Filtering 06:34 Lecture 48 Real Time Twitter Data Sentiment Analysis 10:11 Quiz 6 Spark Machine Learning Algorithms 4 questions Lecture 49 PRACTICE Exercise : Spark Clustering Article Lecture 50 PRACTICE Exercise : Spark Classification Article Section 8: Conclusion Lecture 51 Closing Remarks 01:56 Lecture 52 BONUS Lecture : Other courses you should check out Article
Social Media Mining
 
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Hundreds of millions of people spending countless hours on social media to share, communicate, connect, interact, and create user-generated data. Using data mining, machine learning, text mining, social network analysis, and information retrieval, we could mine valuable knowledge for social science researches and business marketing proposes. This project was our graduation project. we used a real data from Facebook to give a proper recommendation for users about movies and series due to the social group that our users belongs to, we also managed to recommend friends to a user due to interests similarity.
Fog assisted iot enabled patient health monitoring in smart homes- IEEE PROJECTS 2018
 
18:11
Fog assisted iot enabled patient health monitoring in smart homes- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications 31. Emotion Recognition on Twitter: Comparative Study and Training a Unison Model 32. Search Result Diversity Evaluation based on Intent Hierarchies 33. A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining 34. Automated Phrase Mining from Massive Text Corpora 35. Automatic Segmentation of Dynamic Network Sequences with Node Labels
Views: 19 Micans Infotech
Enhanced instant message security and privacy protection scheme for mobile social network systems
 
21:16
Enhanced instant message security and privacy protection scheme for mobile social network systems- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications 31. Emotion Recognition on Twitter: Comparative Study and Training a Unison Model 32. Search Result Diversity Evaluation based on Intent Hierarchies 33. A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining 34. Automated Phrase Mining from Massive Text Corpora 35. Automatic Segmentation of Dynamic Network Sequences with Node Labels
Views: 3 Micans Infotech
FTP NDN File Transfer Protocol Based on Re Encryption for Named Data Network Supporting Nondesignate
 
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FTP NDN File Transfer Protocol Based on Re Encryption for Named Data Network Supporting Nondesignate- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project NETWORK AND SERVICE MANAGEMENT 1. Bacterial foraging optimization based Radial Basis Function Neural Network (BRBFNN) for identification and classification of plant leaf diseases: An automatic approach towards Plant Pathology(12 February 2018 ) 2. Fault-Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks (08 June 2018) SOFTWARE ENGINEERING 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications 31. Emotion Recognition on Twitter: Comparative Study and Training a Unison Model 32. Search Result Diversity Evaluation based on Intent Hierarchies 33. A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining
Views: 0 Micans Infotech
Robert Meyer - Analysing user comments with Doc2Vec and Machine Learning classification
 
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Description I used the Doc2Vec framework to analyze user comments on German online news articles and uncovered some interesting relations among the data. Furthermore, I fed the resulting Doc2Vec document embeddings as inputs to a supervised machine learning classifier. Can we determine for a particular user comment from which news site it originated? Abstract Doc2Vec is a nice neural network framework for text analysis. The machine learning technique computes so called document and word embeddings, i.e. vector representations of documents and words. These representations can be used to uncover semantic relations. For instance, Doc2Vec may learn that the word "King" is similar to "Queen" but less so to "Database". I used the Doc2Vec framework to analyze user comments on German online news articles and uncovered some interesting relations among the data. Furthermore, I fed the resulting Doc2Vec document embeddings as inputs to a supervised machine learning classifier. Accordingly, given a particular comment, can we determine from which news site it originated? Are there patterns among user comments? Can we identify stereotypical comments for different news sites? Besides presenting the results of my experiments, I will give a short introduction to Doc2Vec. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 14996 PyData
Mobile data gathering wiht bouned relay in wireless sensor networks- IEEE PROJECTS 2018
 
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Mobile data gathering wiht bouned relay in wireless sensor networks- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project NETWORK AND SERVICE MANAGEMENT 1. Bacterial foraging optimization based Radial Basis Function Neural Network (BRBFNN) for identification and classification of plant leaf diseases: An automatic approach towards Plant Pathology(12 February 2018 ) 2. Fault-Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks (08 June 2018) SOFTWARE ENGINEERING 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications
Optimizing a multi product continuous review inventory model with uncertain demand,quality improveme
 
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Optimizing a multi product continuous review inventory model with uncertain demand,quality improveme- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project NETWORK AND SERVICE MANAGEMENT 1. Bacterial foraging optimization based Radial Basis Function Neural Network (BRBFNN) for identification and classification of plant leaf diseases: An automatic approach towards Plant Pathology(12 February 2018 ) 2. Fault-Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks (08 June 2018) SOFTWARE ENGINEERING 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications 31. Emotion Recognition on Twitter: Comparative Study and Training a Unison Model 32. Search Result Diversity Evaluation based on Intent Hierarchies 33. A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining
Views: 3 Micans Infotech
Sentiment Analysis Over News-Wire
 
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Java Application developed for 3rd Year Computer Science Project to Analyse Sentiment of Financial News
Views: 310 Adam Awan
Fault Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks
 
07:28
Fault Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project NETWORK AND SERVICE MANAGEMENT 1. Bacterial foraging optimization based Radial Basis Function Neural Network (BRBFNN) for identification and classification of plant leaf diseases: An automatic approach towards Plant Pathology(12 February 2018 ) 2. Fault-Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks (08 June 2018) SOFTWARE ENGINEERING 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications 31. Emotion Recognition on Twitter: Comparative Study and Training a Unison Model 32. Search Result Diversity Evaluation based on Intent Hierarchies 33. A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining
Views: 1 Micans Infotech
Project Management Fundamentals
 
03:13
Need more insight into how project management can benefit your work? Download our free project management buyer's guide: http://research.technologyadvice.com/project-mgmt-buyers-guide/?utm_source=youtube.com&utm_medium=description&utm_content=project-management-fundamentals&utm_term=buyer&utm_campaign=explainer Learn the basics of project management, including common terms, how to implement solutions, and what it can do for your company. For a personalized product recommendation, visit: http://technologyadvice.com/project-management/smart-advisor/?utm_source=youtube.com&utm_medium=description&utm_content=project-management-fundamentals&utm_term=buyer&utm_campaign=explainer
Views: 385 TechnologyAdvice
data mining based ieee projects | ieee projects in data mining for cse 2016
 
00:45
data mining based ieee projects | ieee projects in data mining for cse 2016, data mining projects in java, data mining projects in dot net, mphil data mining projects, data mining projects for me, data mining projects for m.tech., data mining projects for phd, To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: www.jpinfotech.org, Blog: www.jpinfotech.blogspot.com
Views: 232 JPINFOTECH PROJECTS
DATA MINING TASK IN HEALTHCARE SECTOR
 
23:00
We were need to perform demonstration about data mining tasking in Health care sector.
Views: 33 khairul Habib
latest cryptocurrency news in hindi!big mining project in iceland and russia!news of ataricoin!PF
 
10:27
Today we have many topics to discuss in this video.We have news from Iceland where bitcoin mining is moving to Iceland because they got the support from the govt and there are plenty of energy available which not available in china. Bitcoin mining is booming in Iceland due to the country’s abundance of geothermal, hydroelectric and wind power plants. The MoonLite Project is to be set up in Iceland and will to mine high-value cryptocurrencies.The Project plans to mine crypto-Bitcoin, Bitcoin Cash, Dash and Litecoin. It'll make use of emergent technologies, AI and custom algorithms for better performance and profits while they will use the green power. In Asia,China may shut down production in next couple of months, open an opportunity for Iceland.Two Russian regions governors have indicated their readiness for large crypto mining facilities. Two regions Kaliningrad and Leningrad – are welcoming miners and want to get involved in “crypto production”. Local authorities have expressed intentions to take mining out of garages and make it up to an industrial level. They will now put pressure on Moscow for its regulations very quickly. Financial Market Supervisory Authority (FINMA) of Switzerland have said that there has been a rapid rise in the number of ICOs in the country, so Swiss regulator has published new guidelines that indicate it will treat some tokens sold during ICO as securities. Atari gaming co.in cryptocurrency and ICO-Legendary video game company Atari, best known for games such as Pong and Pac-Man, is investing in cryptocurrency. Atari's stock jumped more than 60%-after the company announced its crypto initiatives on February 8th. The company has plans to produce its own cryptocurrency called "Atari Coins". Atari chairman and CEO Frederic Chesnais said. “Our aim is to take strategic positions with a limited cash risk, in order to best create value with the assets and the Atari brand.” News from the USA-A White House official said Friday that legislation around cryptocurrencies is unlikely to materialize anytime soon. White House cybersecurity coordinator and special assistant to the president Rob Joyce said "I think we're still absolutely studying and understanding what the good ideas and bad ideas in that space are. So I don't think it's close," he also added that "We are worried. There are benefits to the bitcoin concept - digital cash, digital currencies," he said. "But at the same time, if you look at the way bitcoin works after there is a criminal act that takes place, you can't rewind the clock and take back that currency."Japanese Crypto Associations Merging- Japan currently has two cryptocurrency industry associations: the Japan Blockchain Association (JBA) and the Japan Cryptocurrency Business Association (JCBA). The two organizations have reportedly been in talks to merge after the hack of one of the country’s largest exchanges, Coincheck, They are hurried to restore trust in the industry.they will focus on 1. safety management system.2. compensation of customer assets.3. reliability of crypto exchanges GPU Shortage- After gamers, scientists have now raised the alarm about the deficit of video cards caused by excessive demand in the crypto mining industry. Radio-astronomers working on SETI (Search for Extraterrestrial Intelligence) projects said they need more GPUs to upgrade their equipment. The scientists want to expand operations at two observatories but cannot find enough of the new powerful chips, Some telescopes need about 100 graphics cards to process data from large listening arrays. They are used to detect signals from space.For this reason, AMD has said that they will increase the production of GPU from March 2018. Subscribe: https://www.youtube.com/channel/UC-4nlBeh8Qfd5zKYxpjFjFA?sub_confirmation=1 Google+ ID : https://plus.google.com/110550308027330241905 Bitcoin Back: good news from the US: https://www.youtube.com/watch?v=rjNw7bU-gnc India Govt Put into jail for Bitcoin trading: https://www.youtube.com/watch?v=2lAliJMHjO8 EXCITING NEWS FOR BITCOIN! FUD VS REAL NEWS!: https://www.youtube.com/watch?v=j95LP-lxoJ8 Budget2018: https://www.youtube.com/watch?v=19DXkptP77c Top7 alt coin: https://www.youtube.com/watch?v=BvVCjF8mAA4 Bitcoin $100000: https://www.youtube.com/watch?v=ED-JZoPvMTM **DISCLAIMER**: I am not a financial advisor nor am I giving financial advice. I am sharing my biased opinion based on speculation. You should not take my opinion as financial advice. Cryptocurrency trading & mining is a risky business, We do not guarantee any profit and earning from Bitcoin & other cryptocurrencies. You should always do your research before making any investment. You should also understand the risks of investing. This is all speculative based investing. we will not responsible for any loss. music credit: www.bensound.com Royalty Free Music from Bensound
Views: 1575 passive fund
Twitter Streaming API - Data Mining #6
 
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Data Mining twitter streaming API using tweepy. Jupyter Notebook: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/data-mining/6.%20Twitter%20Streaming%20API.ipynb
Views: 10795 Roshan
Complementary Aspect based Opinion Mining
 
00:35
Complementary Aspect based Opinion Mining Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project, IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS, ,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS, IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS, IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,IEEE PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS,FINAL YEAR PROJECTS
Fault Tolerant Clustering Topology Evolution Mechanism of Wireless - IEEE PROJECTS 2018
 
07:28
Fault Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project NETWORK AND SERVICE MANAGEMENT 1. Bacterial foraging optimization based Radial Basis Function Neural Network (BRBFNN) for identification and classification of plant leaf diseases: An automatic approach towards Plant Pathology(12 February 2018 ) 2. Fault-Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks (08 June 2018) SOFTWARE ENGINEERING 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications
Sentimental Analysis for Mobile Networks
 
04:35
Sentimental Analysis for Mobile Networks Java Project Download Project Code, Report and PPT :+91 7702177291, +91 9052016340 Email : [email protected] Website : www.1000projects.org
Views: 121 1000 Projects
Product Aspect Ranking and Its Applications
 
01:16
Huge collections of consumer reviews are now available on the Web expressing various opinions on multiple aspects of products. Among these aspects some are more important than others and have greater influence on consumers' decisions. This method uses aspect ranking to automatically identify important product aspects or features from online consumer reviews. Aspect ranking can be used in document-level sentiment classification and extractive review summarization achieving significant performance improvement on these applications.
Views: 1199 jz00hj
Hotel occupancy rate vs. Customers online review
 
15:58
This is our project where we work on a text mining and sentiment analysis. We won Teradata Partner 2015 Business Analytic Competition.
Views: 102 Jeffery Mei
Brett Heath: Sentiment Has Changed Drastically in the Last Month
 
15:24
To subscribe to our newsletter and get notified of new shows, please visit http://palisaderadio.com Brett sees severe capitulation across the board from the metals to the majors and down to the juniors. Most of the majors are at or near 52-week lows. This looks like scary times, and both gold and silver are incredibly volatile right now. The sentiment has changed drastically from just a month ago. What we have seen for the last two years is gold stuck in a channel. It was looking like gold and silver were setting up for a very good run, but that did not materialize. He warns that the market may continue to be oversold for some time. With this latest market decline, a lot of issuers were caught off guard. Many are in a vulnerable position with their stock holdings down forty percent. Investors need to be ready to take advantage of opportunities. You do not want to be holding companies that need to raise capital in the next year as they will likely get very unfavorable terms. You want to understand the financial situation of the companies you do hold and where the value truly lies. Royalty and streaming companies can benefit from this type of market. When companies or holders see this level of negative sentiment, they may throw in the towel. Historically this is when the real deals are made. Brett outlines how Metalla operates and why they differ from other royalty and streaming companies. He says, “Investors get killed when they act on fear, they need to learn to use the fear in the markets to their advantage.”
Views: 3319 Palisade Radio
BEST DATA MINING PROJECTS FOR STUDENTS IN ENGLAND
 
00:14
DOTNET PROJECTS,2013 DOTNET PROJECTS,IEEE 2013 PROJECTS,2013 IEEE PROJECTS,IT PROJECTS,ACADEMIC PROJECTS,ENGINEERING PROJECTS,CS PROJECTS,JAVA PROJECTS,APPLICATION PROJECTS,PROJECTS IN MADURAI,M.E PROJECTS,M.TECH PROJECTS,MCA PROJECTS,B.E PROJECTS,IEEE PROJECTS AT MADURAI,IEEE PROJECTS AT CHENNAI,IEEE PROJECTS AT COIMBATORE,PROJECT CENTER AT MADURAI,PROJECT CENTER AT CHENNAI,PROJECT CENTER AT COIMBATORE,BULK IEEE PROJECTS,REAL TIME PROJECTS,RESEARCH AND DEVELOPMENT,INPLANT TRAINING PROJECTS,STIPEND PROJECTS,INDUSTRIAL PROJECTS,MATLAB PROJECTS,JAVA PROJECTS,NS2 PROJECTS, Ph.D WORK,JOURNAL PUBLICATION, M.Phil PROJECTS,THESIS WORK,THESIS WORK FOR CS
Views: 23 RANJITH KUMAR
GraphTraffic aware graph processing- IEEE PROJECTS 2018
 
10:27
GraphTraffic aware graph processing- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project NETWORK AND SERVICE MANAGEMENT 1. Bacterial foraging optimization based Radial Basis Function Neural Network (BRBFNN) for identification and classification of plant leaf diseases: An automatic approach towards Plant Pathology(12 February 2018 ) 2. Fault-Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks (08 June 2018) SOFTWARE ENGINEERING 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events DATA MINING 1. Opinion Aspect Relations in Cognizing Customer Feelings via Reviews(24 January 2018) 2. Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction, and variation control in lead time (27 June 2018) 3. Evaluation of Predictive Data Mining Algorithms in Soil Data Classification for Optimized Crop Recommendation (09 April 2018) 4. Prediction of Effective Rainfall and Crop Water Needs using Data Mining Techniques (01 February 2018) 5. A Secure Client-Side Framework for Protecting the Privacy of Health DataStored on the Cloud( 04 June 2018) 6. Greedy Optimization for K-Means-Based Consensus Clustering(April 2018) 7. A Two-stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings 8. Principal Component Analysis Based Filtering for Scalable, High Precision k-NN Search 9. Entity Linking: A Problem to Extract Corresponding Entity with Knowledge Base 10. Collective List-Only Entity Linking: A Graph-Based Approach 11. Web Media and Stock Markets : A Survey and Future Directionsfrom a Big Data Perspective 12. Selective Database Projections Based Approach for Mining High-Utility Itemsets 13. Reverse k Nearest Neighbor Search over Trajectories 14. Range-based Nearest Neighbor Queries with Complex-shaped Obstacles 15. Predicting Contextual Informativeness for Vocabulary Learning 16. Online Product Quantization 17. Highlighter: automatic highlighting of electronic learning documents 18. Fuzzy Bag-of-Words Model for Document Representation 19. Frequent Itemsets Mining with Differential Privacy over Large-scale Data 20. Fast Cosine Similarity Search in Binary Space with Angular Multi-index Hashing 21. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds 22. Document Summarization for Answering Non-Factoid Queries 23. Discovering Canonical Correlations between Topical andTopological Information in Document Networks 24. Complementary Aspect-based Opinion Mining 25. An Efficient Method for High Quality and Cohesive Topical Phrase Mining 26. A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems 27. A Correlation-based Feature Weighting Filter for Naive Bayes 28. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 29. Bayesian Nonparametric Learning for Hierarchical and Sparse Topics 30. Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications

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