Jingrui He He Analysis of Rare Categories

Analysis of Rare Categories

von Jingrui He

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Beschreibung

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.
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.
First systematic investigation of rare categories Suitable for researchers in the areas of data mining and feature selection Develops effective algorithms with theoretical guarantees as well as good empirical results Includes supplementary material: sn.pub/extras

Autor*in

Jingrui He

Themen in »Analysis of Rare Categories«

Data analysis Data mining Feature selection Machine learning Majority class Minority class Rare category

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Details

ISBN: 9783642228124
Verlag: Springer Berlin
Erscheinung: 05.01.2012

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