Guest Editorial
Kernels and Distances for Structured Data
Naive Bayesian Classification of Structured Data
Integrating Guidance into Relational Reinforcement Learning
Compact Representation of Knowledge Bases in Inductive Logic Programming
Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned
Editorial: Data Mining Lessons Learned
Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving
Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation
Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics
Lessons and Challenges from Mining Retail E-Commerce Data
Learning to Decode Cognitive States from Brain Images
A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000