[Front cover]
[Inside front cover]
Introduction to the Domain-Drive Data Mining Special Section
Domain-Driven Data Mining: Challenges and Prospects
Bridging Domains Using World Wide Knowledge for Transfer Learning
Knowledge-Based Interactive Postmining of Association Rules Using Ontologies
Logic-Based Pattern Discovery
Asking Generalized Queries to Domain Experts to Improve Learning
Domain-Driven Classification Based on Multiple Criteria and Multiple Constraint-Level Programming for Intelligent Credit Scoring
Signaling Potential Adverse Drug Reactions from Administrative Health Databases
Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces
δ-Presence without Complete World Knowledge
Privacy-Preserving Gradient-Descent Methods
Dynamic Dissimilarity Measure for Support-Based Clustering
Kernel Discriminant Learning for Ordinal Regression
IEEE and IEEE Computer Society 2010 Student Package
7 Great Reasons for Joining the IEEE Computer Society [advertisement]
TKDE Information for authors
[Back cover]