A Topic Modeling Approach for Traditional Chinese Medicine Prescriptions
Exploring Hierarchical Structures for Recommender Systems
Longest Increasing Subsequence Computation over Streaming Sequences
MCS-GPM: Multi-Constrained Simulation Based Graph Pattern Matching in Contextual Social Graphs
Multi-Instance Learning with Discriminative Bag Mapping
Multi-Label Learning with Global and Local Label Correlation
Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis
RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates
Scalable Content-Aware Collaborative Filtering for Location Recommendation
Scalable Distributed Nonnegative Matrix Factorization with Block-Wise Updates
Space Filling Approach for Distributed Processing of Top-k Dominating Queries
Sparse Feature Attacks in Adversarial Learning
Structure Based User Identification across Social Networks
Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications
Range Queries on Multi-Attribute Trajectories