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PHD RESEARCH TOPIC IN DATA MINING
 
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Views: 3503 PHD Projects
research paper topics in data mining
 
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PhD research topic in big data
 
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Views: 4734 PHD Projects
PHD RESEARCH TOPIC IN TEXT MINING
 
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Views: 465 PHD Projects
Topic Choice for Masters Level Dissertations
 
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How to choose a Master's Level Research Topic. Ways of generating ideas, methods to focus general ideas down to specific research areas.
Views: 318 AbleSim
Data Mining For Thesis
 
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Views: 547 Suyeon Jung
dissertation topics data mining
 
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data mining projects
 
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Views: 390 PHD Projects
PhD Research Topics In Strategic Management - Thesis Proposal - Nerd-out Wednesdays
 
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This is relevant for any PhD that is looking for research topics in strategic management, research topics business management, or organizational behavior topics for a thesis. When looking into PhD research topics in strategic management for a thesis proposal (also called dissertation proposal), you should look for: 1. Problems that resonate with you. You have to be interested in it for a long time. 2. Problems that are going to be relevant in 5 years time, not that are relevant right now. 3. Problems that intersect an interesting context, an interesting method, an interesting theory. 4. Problems that are reasonably completed in time. One idea or relationship at a time. When you think it is too simple or dumb, that is perfect. 5. Problems in which you can gather data. You have to be practical, and think about where you can get data easily. Check out the following videos that might be useful for thinking about PhD research topics in strategic management. Problems Encountered During Research – Thesis Help https://youtu.be/sCjhFQicQfs Key Performance Metrics (KPI): Should You Measure The Observable? - Thesis Help https://youtu.be/i7xTC7NRkdU What Paper Attributes Are Most important For Academic Research And Writing? Thesis Help! https://youtu.be/b-XDsLD7N-c What Is The Scientific Research Process? - Thesis Help https://youtu.be/4y9EA4Ts-nE What Areas Of Research In A PhD Will Make Me Most Competitive In The Job Market? - Thesis Help https://youtu.be/VnUwrbn8xWg Advantages/Disadvantages Of Different Research Methods: Surveys To Field Research? - Thesis Help https://youtu.be/lrt1x1whJbQ PhD Supply And Demand - What Is The Supply And Demand Of A Graduate Degree - Thesis Help https://youtu.be/obRmYFwrD6c Find Your Bucket-List - Prioritizing Your Work As A New PhD: Thesis Help https://youtu.be/ATmyhExabhg How To Cope With Uncertainty During A PhD https://www.youtube.com/watch?v=QvKl1EoNbUs How to Write Better And Make Your Writing More Interesting - Thesis Help https://youtu.be/v0Ek_GI5sW0 Should You Focus On Only High Quality Publications? - Thesis Help https://youtu.be/Z5rQgqXtFus How To Complete Your Thesis - A Page A Day Is A Book A Year - Thesis Help https://youtu.be/cG3WBSHEYn8 What Do Thesis Advisors Look For In A Graduate School Applicant? - Thesis Help https://youtu.be/MUleQFANzlE Should You Get Married, Or Have Children During Graduate School? - Thesis Help https://youtu.be/togvGVyJBpw Academic Rankings, Journal Quality, Publish Or Perish, And The Academic Treadmill - Thesis Help https://youtu.be/zJw9xGZgVg8 What Do You Do When You Are Stuck On A Difficult Problem? - Thesis Help https://youtu.be/Fqc_M18GOh8 How To Identify A Thesis Topic - Thesis Help https://youtu.be/3vdEdWkzQaM ************* David Maslach is a research professor of entrepreneurship, innovation, and business strategy, I discuss topics, such as behavioral science, strategy, innovation, and entrepreneurship, and apply these to my new peer proofreading and editing platform. Topics include the sharing economy, altruism, investing in technology, starting a business, and bounded rationality. My favorite videos pertain to incentives, goal setting, and learning from failure to drive behaviors such as weight loss, stopping telemarketers, creating novel technologies, and creating new movements. https://r3ciprocity.com: Peer proofreading and editing platform A new platform where you can earn credits by editing other people's documents. Use these credits to have your own work edited. If you do a good enough job, you can convert these credits to money. The goal of the platform is to get people to 'pay it forward' and help other people out by creating incentives for people to give back. Check out https://www.r3ciprocity.com Please subscribe to the Youtube channel: https://www.youtube.com/channel/UC5spxk7bNDMGPSHjW_8ndZA
Views: 226 r3ciprocity Team
Data mining Projects 2017 | 2018 IEEE Project Titles on Data Mining using Java
 
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Data mining Projects 2017 | 2018 IEEE Project Titles on Data Mining using Java An Iterative Classification Scheme for Sanitizing Large-Scale Datasets Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach Collaborative Filtering-Based Recommendation of Online Social Voting Computing Semantic Similarity of Concepts in Knowledge Graphs Detecting Stress Based on Social Interactions in Social Networks Dynamic Facet Ordering for Faceted Product Search Engines Efficient Clue-based Route Search on Road Networks Efficient Keyword-aware Representative Travel Route Recommendation Energy-efficient Query Processing in Web Search Engines Generating Query Facets using Knowledge Bases Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items Mining Competitors from Large Unstructured Datasets Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction Personal Web Revisitation by Context and Content Keywords with Relevance Feedback PPRank: Economically Selecting Initial Users for Influence Maximization in Social Networks QDA: A Query-Driven Approach to Entity Resolution Query Expansion with Enriched User Profiles for Personalized Search Utilizing Folksonomy Data RAPARE: A Generic Strategy for Cold-Start Rating Prediction Problem SociRank: Identifying and Ranking Prevalent News Topics Using Social Media Factors Towards Real-Time, Country-Level Location Classification of Worldwide Tweets Trajectory Community Discovery and Recommendation by Multi-source Diffusion Modeling Understand Short Texts by Harvesting and Analyzing Semantic Knowledge User Vitality Ranking and Prediction in Social Networking Services: a Dynamic Network Perspective User-Centric Similarity Search When to Make a Topic Popular Again? A Temporal Model for Topic Re-hotting Prediction in Online Social Networks http://jpinfotech.org/projects/2017-ieee-projects/java-projects/
Views: 898 JPINFOTECH PROJECTS
IEEE DATAMINING TOPICS - FINAL YEAR IEEE COMPUTER SCIENCE PROJECTS
 
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TSYS Center for Research and Development (TCRD) is a premier center for academic and industrial research needs. We at TRCD provide complete support for final year Post graduate Student (M.E / M.Tech / M. Sc/ MCA/ M-phil) who are doing course in computer science and Information technology to do their final year project and journal work. For Latest IEEE DATA MINING Projects Contact: TSYS Center for Research and Development (TSYS Academic Projects) Ph.No: 9841103123 / 044-42607879, Visit us: http://www.tsys.co.in/ Email: [email protected] IEEE TRANSACTION ON KNOWLEDGE AND DATA ENGINEERING 2016 TOPICS 1. A Simple Message-Optimal Algorithm for Random Sampling from a Distributed Stream 2. Online Learning from Trapezoidal Data Streams 3. Quality-Aware Subgraph Matching Over Inconsistent Probabilistic Graph Databases 4. CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites 5. Online Subgraph Skyline Analysis over Knowledge Graphs 6. K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis 7. ATD: Anomalous Topic Discovery in High Dimensional Discrete Data 8. Multilabel Classification via Co-evolutionary Multilabel Hypernetwork 9. Learning to Find Topic Experts in Twitter via Different Relations 10. Analytic Queries over Geospatial Time-Series Data Using Distributed Hash Tables 11. RSkNN: kNN Search on Road Networks by Incorporating Social Influence 12. Unsupervised Visual Hashing with Semantic Assistant for Content-based Image Retrieval 13. A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud 14. Network Motif Discovery: A GPU Approach 15. Crowdsourced Data Management: A Survey 16. Resolving Multi-Party Privacy Conflicts in Social Media 17. Improving Construction of Conditional Probability Tables for Ranked Nodes in Bayesian Networks 18. Clearing Contamination in Large Networks 19. Private Over-threshold Aggregation Protocols over Distributed Databases 20. Challenges in Data Crowdsourcing 21. Efficient R-Tree Based Indexing Scheme for Server-Centric Cloud Storage System
Data mining project
 
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Views: 36 Munira Turki
Data Mining Project Topics Ieee | Data Mining Thesis Topics Ieee
 
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thesis on image processing latest topics chandigarh
 
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Text Mining Project Topics | Text Mining Thesis Topics | Text Mining Code Project Topics
 
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Views: 29 Matlab Projects
Data mining final paper review
 
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This is the final presentation for the data mining final paper review please watch it Thank you
Views: 164 Akhil Kumar Mandoji
Text Mining for Social Scientists
 
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Text mining refers to digital social research methods that involve the collection and analysis of unstructured textual data, generally from internet-based sources such as social media and digital archives. In this webinar, Gabe Ignatow and Rada Mihalcea discussed the fundamentals of text mining for social scientists, covering topics including research design, research ethics, Natural Language Processing, the intersection of text mining and text analysis, and tips on teaching text mining to social science students.
Views: 584 SAGE
Public talks at LvDS 2018: Efficient Document Filtering. Data Science in healthcare
 
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Topic 1 Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining Abstract Automatically extracting information from social media is challenging given that social content is often noisy, ambiguous, and inconsistent. However, as many stories break on social channels first before being picked up by mainstream media, developing methods to better handle social content is of utmost importance. In this paper, we propose a robust and effective approach to automatically identify microposts related to a specific topic defined by a small sample of reference documents. Our framework extracts clusters of semantically similar microposts that overlap with the reference documents, by extracting combinations of key features that define those clusters through frequent pattern mining. This allows us to construct compact and interpretable representations of the topic, dramatically decreasing the computational burden compared to classical clustering and k-NN-based machine learning techniques and producing highly-competitive results even with small training sets (less than 1'000 training objects). Our method is efficient and scales gracefully with large sets of incoming microposts. We experimentally validate our approach on a large corpus of over 60M microposts, showing that it significantly outperforms state-of-the-art techniques. Speaker: Dr. Julia Proskurnia Dr. Julia Proskurnia is currently working in Apps Intelligence in Google Zurich with particular interest in text analysis, summarisation and autocompletion. Prior to Google she obtained her PhD degree in EPFL, Lausanne where she was working towards profiling, modelling and facilitation of online activism on social media. During her PhD she filed a patent and published multiple papers in the top tier conferences, such as WWW, CIKM, ICWSM, etc. She currently holds two master degree, first, with specialisation of Distributed Systems, that she obtained from both UPC, Barcelona and KTH, Stockholm, and second, with specialisation of Applied System Analysis and Decision Making from NTUU KPI, Ukraine. She had received numerous scholarships during her studies, including, Anita Borg Scholarship, GHC grant, President scholarship of NTUU KPI, etc. Her current interests are Applied Machine Learning, NLP, Time series prediction, Text mining. Topic 2 What data scientist can do to improve healthcare Abstract This talk will mostly tell a personal story of how a data scientist by training ended up doing projects related to healthcare, medicine, and biology. According to that experience, some relevant projects will be described with the data science methods that the speaker used. Speaker: Dmytro Fishman Dmytro is assistant of Data Science and Junior Research Fellow in Bioinformatics at the Institute of Computer Science, University of Tartu. His current research is focused on applying machine learning and data mining methods to biological data. For his PhD thesis, Dmytro is building an automatic tool for analysing protein microarray experiments in immunological studies. He and his colleagues use Deep Learning on various biological data, including genomic data and microscopy images. Also Dmytro has experience teaching various machine learning related subjects both at the University of Tartu and as an invited lecturer in companies. He is a certified trainer in Data Carpentry and Software Carpentry organisations that organise and carry out trainings for scientists in the core data science skills around the world.
thesis topic: Data Warehouse
 
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Views: 18 Anggi Ferdiyani
Data mining weka thesis
 
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Views: 158 PHD PROJECTS
How to pick a thesis topic(Thai).avi
 
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Views: 425 Leslie Richards
Data Mining Proposal
 
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Forecasting online auction
Views: 39 Ye Minghan
Latest Phd Research Topics in Computer Science
 
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Views: 644 Innovative Projects
Data Mining Sample Projects | Data Mining Sample Thesis | Data Mining Sample Code Projects
 
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Final Year Project Tips
 
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Image Processing and Data Mining thesis Writing Services in India
 
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Thesisgator.com proudly provides Electronics thesis writring services along with image processing and Network security at low cost in an effective manner. To know more, Contact us on (+91) 8951182680 or Send Your Query at [email protected] To explore more about Image Processing and Data Mining Thesis Writing Services in India, please visit http://thesisgator.com/pages/t&c.php
Views: 162 Thesis Gator
TanyaAttri_x16146344_RICCA2
 
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This video is in regards to my thesis proposal for Research in Computing, where my topic is Employee attrition using Data mining techniques.
Views: 143 Tanya Attri
How to choose final year project topic in any branch of engineering ?
 
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This video is all about giving helpful tips and advice to all engineering students who are going to undertake final year project topic. One can use this information to do effective execution of the project at hand. http://www.mechanicalduniya.com/2012/03/mechanical-engineering-final-year.html http://www.mechanicalduniya.com/2014/06/things-you-should-do-after-choosing-final-year-project-mechanical-engineering.html Like, Share and Subscribe my channel for more videos http://www.youtube.com/user/p07ip705?sub_confirmation=1
Views: 40746 Paresh Gujarati
PhD research topic in cyber security
 
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Views: 2056 PHD Projects
Movie Rating Prediction Using Crew Experience Data Mining Projects
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-text-mining/
Views: 500 PHD Projects
PHD RESEARCH TOPIC IN NATURAL LANGUAGE PROCESSING
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-pattern-analysis-machine-intelligence/
Views: 799 PHD Projects
Big Data Healthcare PROJECTS
 
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Views: 370 PHD Projects
Novel Data Mining Methods for Virtual Screening - PhD Defense
 
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The Defense of PhD degree in Computer Science in King Abdullah University of Science and Technology (KAUST). Abstract: Drug discovery is a process that takes many years and hundreds of millions of dollars to reveal a confident conclusion about a specific treatment. Part of this sophisticated process is based on preliminary investigations to suggest a set of chemical compounds as candidate drugs for the treatment. Computational resources have been playing a significant role in this part through a step known as virtual screening. From a data mining perspective, availability of rich data resources is key in training prediction models. Yet, the difficulties imposed by the big expansion in data and its dimensionality are inevitable. In this thesis, I address the main challenges that come when data mining techniques are used for virtual screening. In order to achieve an efficient virtual screening using data mining, I start by addressing the problem of feature selection and provide analysis of best ways to describe a chemical compound for an enhanced screening performance. High-throughput screening (HTS) assays data used for virtual screening are characterized by a great class imbalance. To handle this problem of class imbalance, I suggest using a novel algorithm called DRAMOTE to narrow down promising candidate chemicals aimed at interaction with specific molecular targets before they are experimentally evaluated. Existing works are mostly proposed for small-scale virtual screening based on making use of few thousands of interactions. Thus, I propose enabling large-scale (or big) virtual screening through learning millions of interaction while exploiting any relevant dependency for a better accuracy. A novel solution called DRABAL that incorporates structure learning of a Bayesian Network as a step to model dependency between the HTS assays, is showed to achieve significant improvements over existing state-of-the-art approaches.
Views: 408 Othman Soufan
PHD RESEARCH TOPIC IN IMAGE PROCESSING
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-p2p-live-streaming/
Views: 1436 PHD Projects
Basic AI terms Every PhD students should know - PhD Assistance
 
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Artificial Intelligence is the buzzword now. The AI-enhanced smartphones and self-driven cars add more hype to the excitement in the world of artificial intelligence. Now let’s see some of the powerful terms in the world of artificial intelligence. Algorithms Can Artificial Intelligence survive without a set of instructions? These powerful rules help AI to learn on its own. Chatbots Well, the idea of conversation between human users and chat robots has risen. These are generally used interface for computer programs that consists of AI capabilities. Machine Learning The very essence of artificial intelligence is machine learning. It is even sometimes substituted with artificial intelligence. In machine learning, AI uses algorithms to carry out artificial intelligence functions. Deep Learning “Why” is a question that is mostly asked in any field of research. Deep learning, the subset of machine learning, applies specialized algorithms to comprehend complex structures of different data. Data mining When patterns are found within large sets of data for the purpose of extracting useful details from it, then it is called data mining. Neural Network These networks are formed to have similar aspects with that of the human nervous system and brain. There are stages of learning so that AI can solve difficult problems. Natural Language Processing Well, doesn’t the thought of AI interpreting human communication sound interesting? Natural Language Processing, an advanced neural network, is meant for this. Need Assistance for Your PhD Research & any queries or guidance feel free to contact us at : www.phdassistance.com mail us : [email protected] Call : +91 8754446690
Views: 110 PhD Assistance
Free Research Papers, Thesis, Seminar topics suggestions and reference papers
 
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Dear Students, You can free download the following research papers. So that these research will be very helpful for your research, seminar or thesis topic. Research Paper Titles are given below. You can download these research papers from the link http://ijritcc.org/vol_2_issue_1.html 01 Image Retrieval Using Gradient Operators Ajinkya P.Nilawar. 1 - 4 02 PAPR Reduction in the OFDM signal Using Partial Transmit Sequence Dipen B. Patel, Niraj Tevar, Anand Patel 5 - 10 03 Object Tracking Using Wireless Sensor Network Nandhini.S, Mehzabeen.S.M.M, Swantana.K.L 11 - 16 04 Design and Performance Evaluation of DL MAC Scheduling Model in LTE Siddharth Mahida, Aslam .S. Durvesh 17 - 19 05 AUSHDHI A Life Saver Vardhman Jain 20 - 24 06 Web Authoring Tool for Effective Content Management J.Shyam Jegadeesh, J.John Spencer, P.Libin Jacob, Anisha Pearl 25 - 32 07 A Survey Paper of Optical Fiber Sensor Parikh Meera J., Prof.Gharge Anuradha P. 33 - 39 08 Enterprise Resource Planning Driving Human Resource Management Vikas Bansal, Dr. Vani Narula 40 - 47 09 Maximizing Throughput of Decentralized Wireless Sensor Network Using Reinforcement Learning Mr. Hardik Kumar M. Patel, Mr. Krunal N. Patel 48 - 50 10 A Review to Improve the Productivity of the Hemispherical Type Solar Sill Ajayraj S Solanki, Palak Patel, Umang R Soni, Ashish R Patel 51 - 57 11 Localization Algorithm for Mobile Sensor Nodes Using 3D Space in Wireless Sensor Network Pratik S. Patel, Jignesh R. Patel 58 - 62 12 Optimization Handoff in Mobility Management for the Integrated Macrocell Femtocell LTE Network Ms.Hetal Surti, Mr.Ketan Goswami 63 - 67 13 Review on Software Testing Techniques Bindia Tarika 68 - 72 14 A Universal Similarity Model for Transactional Data Clustering Mr.G.Kamalraja, Mrs.K.Prathiba, Ms.C.M.Parameshwari 73 - 79 15 Cluster Based Intrusion Detection Technique for Wireless Networks Mr. P.Sundara Vadivel, Mr. J. Senthil Kumar, Mr. M.Sudharsanan 80 - 87 16 Cell Selection Techniques in Heterogeneous LTE Advanced System Dhaval M. Tandel, Tanvi Shah 88 - 91 17 PAPR Reduction in the OFDM Signal Using Selective Mapping Patel Jigar, Darshana Shah, Patel Anand 92 - 95 18 Research Paper on Basic of Artificial Neural Network Ms. Sonali. B. Maind, Ms. Priyanka Wankar 96 - 100 19 Testing of Analog and RF Circuits using Embedded Sensors Shrikant Bhoyar, Nilesh Chide, Ashwini Shende, Avinash Mahule 101 - 104 20 Efficient Measurement Procedure for Access Control to Maximizing Throughput in LTE Femtocell Networks Prof.Utkarsh V.Shah, Mr.Dhvanil J. Patel 105 -- 108 21 Evaluate the Performance of Video Transmission Using H.264 (SVC) Over Long Term Evolution (LTE) Mr. Jaimin Surati, Mr. Ketan Goswami 109 -- 113 22 Web Server Security and Survey on Web Application Security Shaikh Bushra Almin 114 -- 119 23 Revolution Technique for Internet Of Things "6LowPAN" Jaydev Vaidya, Punit Raninga, Dr.Jaymin Bhalani 120 -- 123 24 Smart Attendance System Pushpa S. Gagare., Priyanka A. Sathe, Vedant T. Pawaskar., Sagar S. Bhave 124 -- 127 25 Emotion Generation using LPC Synthesis Mrs.Sulakshana N. Bhatlawande, Prof. Dr. Shaila D. Apte 128 -- 134 26 Performance Evaluation of Face Recognition Algorithms S. Suganya, D. Menaka 135 -- 140 27 Parent Aid Mobile Application Tazeen Sayad, Jash Upadhyay, Chetan Naik, Priyanka Mane 141 -- 143 28 An Effective Sentence Ordering Approach For Multi-Document Summarization Using Text Entailment P Sukumar. K S Gayathri 144 -- 149 29 Analysis of Training Functions in a Biometric System Anusree K, Dr. Binu G S 150 -- 154 30 A Review on Different Image De-noising Methods Keyur Patel, Hardik N. Mewada 155 -- 159 31 Red Tacton Sayli M. Rane., Vishakha V. Dalvi., Bhushan Gaikwad., Sanchita D. Balsarf. 160 -- 164 32 An Efficient Distributed Intrusion Detection System in Grid Environment Using IDS Ms G.Supraja , Mr.C.Gopala Krishnan , Ms.S.Yasmin Junaithi Nisa 165 -- 169 33 Zigbee Technology Vinita A. Batini, Prachi P. Kamble., Snehal S. Mharse. 170 -- 172
Views: 3931 Rahul Sharma
Big Data Research
 
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http://www.ibm.com/software/data/bigdata/ John McPherson, Distinguished Engineer from IBM research discusses Big Data related research projects at IBM. This is part 3 of a 3 part series in which John discusses Hadoop, the Big data Ecosystem, use cases and aspects of Big Data that IBM research are focusing on. Track title: Clouds, composer: Dmitriy Lukyanov, publisher:Shockwave-Sound.Com Royalty Free Produced, directed and edited by Gary Robinson, contact [email protected]
Views: 1455 IBM Analytics
Master's Thesis Defense | Integrative Analysis of Heterogeneous Genomics Data
 
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Thesis Title: Integrative Analysis of Heterogeneous Genomics Data for Triple Negative Breast Cancer and High Grade Serous Ovarian Cancer Abstract: The human body is made up of trillions of cells. Although all the human body cells contain the same DNA sequence inside their nuclei, each one carries out its own function. Normally, human cells grow and divide to form daughter cells as the body needs them. When cells grow old, or lose their ability to function properly, they die (in a very organized way called apoptosis or programmed cell death) and new cells take their role. Cancer is a disease that is caused by uncontrolled division of abnormal cells in some part of the body, breaking the natural process of growing. Old or damaged cells survive when they should die, and new (abnormal) cells form when they are not needed. Some types of cancer form solid tumors, which are masses of tissue. Others, such as leukemias, do not form solid tumors. It is widely believed that cancer is caused by the accumulation of detrimental variation in the genome over the course of a lifetime. Variations can take several forms. Single Nucleotide Polymorphism (SNP) is a mutation in a single base of the DNA. Indels describe insertions or deletions of bases in the genome. Copy Number Variation (CNV) represents multiplied and deleted segments in a genome. Most of the time, one type of mutation is not sufficient to induce cancer formation. In this study, we have investigated genomic datasets of a phase-1 clinical trial on triple-negative breast cancer and ovarian cancer patients. The goal is to identify genes that drive drug resistance. We have developed data analysis pipelines to obtain genomics variations (somatic mutations and copy number variations) from the Whole Exome Sequencing (WES) raw data of 35 triple-negative breast cancer (TNBC) and ovarian cancer patients. In addition, we have analyzed the gene expression levels and gene fusion from the RNA-Seq raw reads data for a subset of 16 patients. This study is an effort toward optimizing the integrative analysis of genomic datasets under certain limitations. The main limitation is the small number of samples in the clinical trial (as is the case in most clinical trials). Another challenge is to find an abstract way to analyze the raw sequencing data given its large size and heterogeneity. The novelty of our work comes in following a data science approach in answering such research questions. The unbiased and data-driven approach was successful in identifying genes that are most likely related to the drug resistance. Our results will guide clinicians toward having an in-depth study of the driver genes. For full thesis manuscript, contact me at: http://www.abdelrahmanhosny.me
Views: 256 Abdelrahman Hosny
Data Analytics Project Ideas | Data Analytics Thesis Ideas | Data Analytics Project Code Ideas
 
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Contact Best Hadoop Projects Visit us: http://hadoopproject.com/
Views: 68 Hadoop Solutions
Web Mining Projects | Web Mining Thesis | Web Mining Code Projects
 
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Contact Best Matlab Projects Visit us: https://matlabprojects.org/
Views: 28 Matlab Projects
BUY THESIS PAPER
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/thesis-builder/
Views: 34 PHD Projects
Current Data Mining Projects | Current Data Mining Thesis
 
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Contact Best Matlab Code Projects Visit us: http://matlab-code.org/
Views: 8 MATLAB PROJECTS
Master's thesis topics 2015/6 - Image and Video Quality Assessment
 
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Overview of master's thesis topics and related research on Image and Video Quality Assessment in the the Image Processing and Interpretation group (iMinds-TELIN-IPI, Ghent University, http://ipi.ugent.be/). Academic year 2015/6. Don't forget to watch the intro video: https://www.youtube.com/watch?v=shbzyNs5R4o
Views: 277 A. Kumcu
Phd viva-voce  presentation on work life balance part-I
 
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PhD Viva-voce Presentation on the title "A Study on Women Employees’ Attitude about Work Life Balance with special reference to Banking, Healthcare and IT/ITES Sectors in Kanchipuram District,Tamilnadu", by Dr.A.VANITHA, Assistant professor, SCSVMV University, Enathur, Kanchipuram-631561,Tamilnadu, India.
Views: 43299 Vanitha Allavaram