Editors, Aims & Scope
Cost-sensitive classification with respect to waiting cost
Text clustering using frequent itemsets
A robust iterative refinement clustering algorithm with smoothing search space
Data mining for exploring hidden patterns between KM and its performance
Feature interval learning algorithms for classification
Differential Evolution for learning the classification method PROAFTN
Approximation reduction in inconsistent incomplete decision tables
Determination of scale elasticity in the existence of non-discretionary factors in performance analysis
A monolithic approach to automated composition of semantic web services with the Event Calculus
O3R: Ontology-based mechanism for a human-centered environment targeted at the analysis of navigation patterns
Using knowledge of misunderstandings to increase the robustness of spoken dialogue systems
Multi-fault classification based on support vector machine trained by chaos particle swarm optimization
Answering queries that may have results in the future: A case study in food science