Analysis of Rare Categories (Hardcover, 2012)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Cognitive Technologies
Release date:	2012
First published:	2012
Authors:	Jingrui He
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Hardcover
Pages:	136
Edition:	2012
ISBN-13:	978-3-642-22812-4
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-22812-7
Barcode:	9783642228124

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