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Analysis of Rare Categories

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....

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Bibliographic Details
Main Author: He, Jingrui
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2012, 2012
Edition:1st ed. 2012
Series:Cognitive Technologies
Subjects:
Computational Intelligence
Artificial Intelligence
Data Structures And Information Theory
Data Mining
Information Theory
Data Structures (computer Science)
Data Mining And Knowledge Discovery
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a Introduction -- Survey and Overview -- Rare Category Detection -- Rare Category Characterization -- Unsupervised Rare Category Analysis -- Conclusion and Future Directions 
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653 |a Data Structures and Information Theory 
653 |a Data mining 
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653 |a Information theory 
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653 |a Data structures (Computer science) 
653 |a Data Mining and Knowledge Discovery 
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520 |a 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 

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