Editorial: Data Mining Lessons Learned

Magical thinking in data mining: lessons from CoIL challenge 2000

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving

Machine Learning

Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation

Machine Learning

Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics

Machine Learning

Lessons and Challenges from Mining Retail E-Commerce Data

Machine Learning

Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned

Machine Learning

Learning to Decode Cognitive States from Brain Images

Machine Learning

A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000

Machine Learning