In many real-world problems, rare categories (minority classes) play essential roles despite their extreme scarcity. This book focuses on rare category analysis, where the majority classes have smooth distributions, and the minority classes exhibit the compactness property.
Dr. Jingrui He received her PhD from Carnegie Mellon University. She is a researcher in the Machine Learning Group of the IBM T.J. Watson Research Center. Her research interests include rare category analysis, active learning, semisupervised learning, transfer learning and spam filtering.
Introduction.- Survey and Overview.- Rare Category Detection.- Rare Category Characterization.- Unsupervised Rare Category Analysis.- Conclusion and Future Directions.