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 Item sets
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

IEEE Based On Data Mining

Efficient Algorithms for Mining Top-K High Utility Item sets (IEEE 2016).
Nearest Keyword Set Search in Multi-Dimensional Datasets (IEEE 2016).
Model of human knowledge extraction for a KBS using reasoning cases (IEEE 2016).
Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations (IEEE 2016).
Pattern Based Sequence Classification (IEEE 2016).