Analysis of Rare Categories

by He, Jingrui

Type Book

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Title Statements

Full title :Analysis of Rare Categories / Jingrui He.

Summary

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.

Edition Statements

Publication Date:2012

Publication Statements

Publisher(s):Springer
Place of Publication:Heidelberg
Language:eng
Publication Date:2012

The Physical Object

Description:viii, 135 pages : : illustrations (some color) ; : 25 cm.

Edition Identifiers

ISBN:9783642228124 (alk. paper), 3642228127 (alk. paper), 3642228135, 9783642228131
DOI:10.1007/978-3-642-22813-1
oclc:on1353598277
LC Classification:QA76.9.D343
Dewey Decimal:006.3/12

Introduction -- Survey and Overview -- Rare Category Detection -- Rare Category Characterization -- Unsupervised Rare Category Analysis -- Conclusion and Future Directions.

Subjects

artificial intelligence Computational Intelligence Computer Science Computers, General Data Mining Data Mining and Knowledge Discovery Data structures (Computer science) Data Structures, Cryptology and Informa… engineering Exploration de données (Informatique) Informatique Sampling (statistics)