User-Interest-Based Document Filtering via Semi-supervised Clustering
Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble
Experimental Analysis of the Q-Matrix Method in Knowledge Discovery
A Softened Formulation of Inductive Learning and Its Use for Coronary Disease Data
A Data Model Based on Paraconsistent Intuitionistic Fuzzy Relations
Towards Ad-Hoc Rule Semantics for Gene Expression Data
Association Reducts: A Framework for Mining Multi-attribute Dependencies
On Automatic Modeling and Use of Domain-Specific Ontologies
Learning Profiles Based on Hierarchical Hidden Markov Model
Personalized Peer Filtering for a Dynamic Information Push
A Distance-Based Algorithm for Clustering Database User Sessions