
Analysis of Rare Categories
Jingrui He(Author)
Springer (Publisher)
Published on 5. January 2012
Book
Hardback
VIII, 136 pages
978-3-642-22812-4 (ISBN)
Description
In many real-world problems, rare categories (minority classes) play essential roles despite their extreme scarcity. The discovery, characterization and prediction of rare categories of rare examples may protect us from fraudulent or malicious behavior, aid scientific discovery, and even save lives. This book focuses on rare category analysis, where the majority classes have smooth distributions, and the minority classes exhibit the compactness property. Furthermore, it focuses on the challenging cases where the support regions of the majority and minority classes overlap. The author has developed effective algorithms with theoretical guarantees and good empirical results for the related techniques, and these are explained in detail. The book is suitable for researchers in the area of artificial intelligence, in particular machine learning and data mining.
More details
Series
Edition
2012
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
VIII, 136 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 13 mm
Weight
389 gr
ISBN-13
978-3-642-22812-4 (9783642228124)
DOI
10.1007/978-3-642-22813-1
Schweitzer Classification
Other editions
Additional editions


Jingrui He
Analysis of Rare Categories
E-Book
01/2012
1st Edition
Springer
€96.29
Available for download
Person
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.
Content
Introduction.- Survey and Overview.- Rare Category Detection.- Rare Category Characterization.- Unsupervised Rare Category Analysis.- Conclusion and Future Directions.