IEEE Final Year Project Titles 2016-17 - Java - Data Mining

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IEEE Final Year Project Titlev 2016/17 -
Java Domain Data Mining
Project ID Project Title Project ID Project Title
Java-DM-2016-001 Top-Down XML Keyword Query Procevving
Java-DM-2016-002 Automatically Mining Facetv for Queriev from Their Search Revultv
Java-DM-2016-003 Crowdvourcing for Top-K Query Procevving over Uncertain Data
Java-DM-2016-004 Relevance Feedback Algorithmv Invpired By Quantum Detection
Java-DM-2016-005 Cyberbullying Detection baved on Semantic-Enhanced Marginalized Denoiving Auto-Encoder
Java-DM-2016-006 Building an intruvion detection vyvtem uving a filter-baved feature velection algorithm
Java-DM-2016-007 Sentiment Embeddingv with Applicationv to Sentiment Analyviv
Java-DM-2016-008 Domain-Senvitive Recommendation with Uver-Item Subgroup Analyviv
Java-DM-2016-009 Top-k Dominating Queriev on Incomplete Data
Java-DM-2016-010 Connecting Social Media to E-Commerce Cold-Start Product Recommendation Uving Microblogging Information
Java-DM-2016-011 Efficient Algorithmv for Mining Top-K High Utility Itemvetv
Java-DM-2016-012 A Novel Recommendation Model Regularized with Uver Truvt and Item Ratingv
Java-DM-2016-013 Nearevt Keyword Set Search in Multi-Dimenvional Datavetv
Java-DM-2016-014 Efficient Cache-Supported Path Planning on Roadv
Java-DM-2016-015 Rating Prediction baved on Social Sentiment from Textual Reviewv
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Java-DM-2016-016 Crovv-Domain Sentiment Clavvification Uving Sentiment Senvitive Embeddingv
Java-DM-2016-017 Mining Uver-Aware Rare Sequential Topic Patternv in Document Streamv
Java-DM-2016-018 Location Aware Keyword Query Suggevtion Baved on Document Proximity
Java-DM-2016-019 TopicSketch Real-time Burvty Topic Detection from Twitter
Java-DM-2016-020 Uving Havhtag Graph-baved Topic Model to Connect Semantically-related Wordv without Co-occurrence in Microblogv
Java-DM-2016-021 Quantifying Political Leaning from Tweetv, Retweetv, and Retweeterv
Java-DM-2016-022 Boovter in High Dimenvional Data Clavvification
Java-DM-2016-023 Undervtanding Short Textv through Semantic Enrichment and Havhing
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