A Similarity-Based Learning Algorithm Using Distance Transformation
A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data
A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness
Cluster-Based Boosting
Discovery of Path Nearby Clusters in Spatial Networks
Domain Invariant Transfer Kernel Learning
Evolutionary Bayesian Rose Trees
Focal-Test-Based Spatial Decision Tree Learning
Heterogeneous Environment Aware Streaming Graph Partitioning
Improving Stability of Recommender Systems: A Meta-Algorithmic Approach
Indexing Earth Mover’s Distance over Network Metrics
Nonlinear Metric Learning with Kernel Density Estimation
Non-Negative Matrix Factorization with Auxiliary Information on Overlapping Groups
Pattern-based Topics for Document Modelling in Information Filtering
Probabilistic Word Selection via Topic Modeling
Relevance Feature Discovery for Text Mining
Robust Model-Based Learning via Spatial-EM Algorithm
Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials
TASC:Topic-Adaptive Sentiment Classification on Dynamic Tweets
Top-k Similarity Join in Heterogeneous Information Networks
Trust Evolution: Modeling and Its Applications