Exploiting the Power of Group Differences: Using Patterns to Solve Data Analysis Problems (Paperback)

Acknowledgments.- Introduction and Overview.- General Preliminaries.- Emerging Patterns and a Flexible Mining Algorithm.- CAEP: Classification By Aggregating Multiple Matching Emerging Patterns.- CAEP for Classification on Tiny Training Datasets, Compound Selection, and Instance Selection.- OCLEP: One-Class Intrusion Detection and Anomaly Detection.- CPCQ: Contrast Pattern Based Clustering-Quality Evaluation.- CPC: Pattern-Based Clustering.- IBIG: Ranking Genes and Attributes for Complex Diseases and Complex Problems CPXR and CPXC: Pattern Aided Prediction Modeling and Prediction Model Analysis.- Other Approaches and Applications Using Emerging Patterns.- Bibliography.- Author's Biography.- Index.