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15 Hot Trending PHD Research Topics in Data Mining 2018
 
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15 Hot Trending Data Mining Research Topics 2018 1. Medical Data Mining 2. Education Data Mining 3. Data Mining with Cloud Computing 4. Efficiency of Data Mining Algorithms 5. Signal Processing 6. Social Media Analytics 7. Data Mining in Medical Science 8. Government Domain 9. Financial Data Analysis 10. Financial Accounting Fraud Detection 11. Customer Analysis 12. Financial Growth Analysis using Data Mining 13. Data Mining and IOT 14. Data Mining for Counter-Terrorism Key Research Application Fields: • Crisp-DM • Oracle Data mining • Web Mining • Open NN • Data Warehousing • Text Mining WHY YOU NEED TO OUTSOURCE TO PhD Assistance: a) Unlimited revisions b) 24/7 Admin Support c) Plagiarism Generate d) Best Possible Turnaround time e) Access to High qualified technical coordinators and expertise f) Support: Skype, Live Chat, Phone, Email Contact us: India: +91 8754446690 UK: +44-1143520021 Email: [email protected] Visit Webpage: https://goo.gl/HwJgqQ Visit Website: http://www.phdassistance.com
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Project topics on data mining
 
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data mining projects
 
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Views: 376 PHD Projects
PHD RESEARCH TOPIC IN WEB MINING
 
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Data Mining Project Proposal Example | Data Mining Thesis Proposal Example
 
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Views: 32 MATLAB PROJECTS
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PhD research topic in big data
 
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Views: 4445 PHD Projects
2018 IEEE Transaction Papers:Datamining top 7 easy understanding and implementable papers
 
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These papers easy to understand and implement. Paper 1: Mining Competitors from Large Unstructured Datasets. Paper 2: Hierarchy-Cutting Model based Association Semantic for Analyzing Domain Topic on the Web. paper 3: Efficient Keyword-Aware Representative Travel Route Recommendation. Paper 4: Learning from Cross-Domain Media Streams for Event-of-Interest Discovery. Paper 5: Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data. Paper 6: Building and Querying an Enterprise Knowledge Graph. Paper 7: Image Re-ranking based on Topic Diversity.
Views: 192 Ashwini Cly
Cloud Computing Thesis Topics | Cloud Computing Projects Topics
 
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Project Topics Related Data Mining | Thesis Topics Related Data Mining
 
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Projects in Data Mining Topics | Thesis in Data Mining Topics | Code Projects in Data Mining Topics
 
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Data Mining Project Ideas for Students | Data Mining Thesis Ideas for Students
 
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Data Mining Projects 2016-2017 | ieee data mining papers 2016
 
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ieee data mining papers 2016 for ME,M.Tech.,M.Phil., Ph.D., B.E, B.Tech., MCA A Novel Recommendation Model Regularized with User Trust and Item Ratings Automatically Mining Facets for Queries from Their Search Results Booster in High Dimensional Data Classification Building an intrusion detection system using a filter-based feature selection algorithm Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings Crowdsourcing for Top-K Query Processing over Uncertain Data Cyberbullying Detection based on Semantic-Enhanced Marginalized Denoising Auto-Encoder Domain-Sensitive Recommendation with User-Item Subgroup Analysis Efficient Algorithms for Mining Top-K High Utility Itemsets Efficient Cache-Supported Path Planning on Roads Mining User-Aware Rare Sequential Topic Patterns in Document Streams Nearest Keyword Set Search in Multi-Dimensional Datasets Rating Prediction based on Social Sentiment from Textual Reviews Location Aware Keyword Query Suggestion Based on Document Proximity Using Hashtag Graph-based Topic Model to Connect Semantically-related Words without Co-occurrence in Microblogs Quantifying Political Leaning from Tweets, Retweets, and Retweeters Relevance Feedback Algorithms Inspired By Quantum Detection Sentiment Embeddings with Applications to Sentiment Analysis Top-Down XML Keyword Query Processing TopicSketch: Real-time Bursty Topic Detection from Twitter Top-k Dominating Queries on Incomplete Data Understanding Short Texts through Semantic Enrichment and Hashing 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
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Data Mining Research Topics | Data Mining Research Project Topics
 
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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
Weka data mining tutorial
 
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Views: 82 PHD PROJECTS
Project Topics on Data Mining | Thesis Topics on Data Mining | Code Project Topics on Data Mining
 
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Final Year Projects for Cse in Cloud Computing | Final Year Thesis for Cse in Cloud Computing
 
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2017 - 2018 IEEE Data Mining Projects for ME / MTech / BE / BTech / MPhil Projects Topics List
 
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Views: 976 1 Crore Projects
DATA MINING PROJECTS IN AUSTRIA
 
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COMPUTER SCIENCE DOCTORATE IN GERMANY
 
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Views: 102 Ranjith Kumar
2017 - 2018 IEEE Cloud Computing Project Topics List For ME  MTECH  BE BTECH MPHIL Final Year Projec
 
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Views: 803 1 Crore Projects
data mining based ieee projects | ieee projects in data mining for cse 2016
 
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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: 223 JPINFOTECH PROJECTS
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Cloud-based Data Mining Tools part 1
 
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Trending PHD Dissertation topic in computer science | Tutors India
 
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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/
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M.Tech (CS) Thesis Work—Prj. Recommender System
 
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Thesis work Title: A Novel Framework For Recommendations Based On Analyzing Sentiments From Textual Reviews Author: Abhishek kumar Course: M.Tech (CSE) University: PTU College: CGC-COE, Landran, Mohali (PB) Month/Year of Submission: Sept. 2017 ABSTRACT: From the beginning of 1990s, Recommender systems have been an integral part of Research to overcome information overload issue. Recommender Systems are everywhere, from E-Commerce websites to Academic Research. Every person is having unique taste and preferences for the objects(living/non-living) they interact with. Based on that taste and preferences what might be the similar objects user might find interesting and might be recommended to him/her. If person enjoys reading web development books, then based on his/her preferences what might be other good web development books, he/she might like if recommended. There are various approaches for the design of Recommender system; and Sentimental Analysis is among one of them. For most of Sentiment Analysis based Recommender Systems’ the core of whole model relates closely with the Rating Prediction Task. The whole Recommender System depends on computed/predicted ratings directly or indirectly. In this thesis work, NRPS Model was proposed. NRPS is a Rating prediction system, which predicts the Ratings by mining the sentimental information from social users’ reviews. For experiments, a real-world dataset was chosen from Yelp(ii). From the users’ generated reviews, product features were extracted via LDA algorithm and Sentimental dictionaries were constructed for the computation of ratings scores. ANN was used for reviews’ ratings scores prediction. The proposed model was implemented via 3 technologies MatLab(iii), Java(iv) and PHP(v). Proposed Rating Prediction model has been compared with RPS[1] and SVMRPS[2] Models. For performance analysis, two performance evaluation metrics—RMSE and MAE were used. Experimental Results shows the significant improvement over the RPS [1] and SVMRPS[2] Models, over a real world dataset. ACKNOWLEDGMENTS I would like to thank Dr. Manish Mahajan (HOD, CGC-COE), both of my guides Mr. Ranjeet Singh and Ms. Deepika Sood; CGC College of Engineering, Landran, Coordinator, for their kind support.I also owe my sincerest gratitude towards Ms. Dapinder Kaur (Class Coordinator), Department of CSE CGC-COE Landran, Mohali for her pearls of wisdom, during the course of this research. I also owe a gratitude towards my classmates especially Neeraj Baatish, Harpreet Kaur, faculty members (CGC-COE, CSE Department)—Mr. Jagbir Singh Gill, Mr. Gaurav Goel and Mr. Tejpal Prasher; for their guidance and support during my M.Tech course. END-NOTES: i https://en.wikipedia.org/wiki/Web_2.0 ii https://www.yelp.com iii https://en.wikipedia.org/wiki/MATLAB iv https://en.wikipedia.org/wiki/Java_(programming_language) v https://en.wikipedia.org/wiki/PHP REFERENCES: [1] X. Lei, X. Qian, and G. Zhao, “Rating Prediction Based on Social Sentiment from Textual Reviews,” IEEE Trans. Multimed., vol. 18, no. 9, pp. 1910–1921, 2016. [2] A. Kumar, R. Singh, and R. Saini, “SVMRPS — Support Vector Machine based Rating Prediction System,” 2017.
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