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Analysis of Rare Categories by Jingrui He: New

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Last updated on 05 Dec, 2024 12:11:41 GMTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Analysis of Rare Categories
Publication Date
2012-01-05
ISBN
9783642228124

About this product

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642228127
ISBN-13
9783642228124
eBay Product ID (ePID)
109106607

Product Key Features

Number of Pages
VIII, 136 Pages
Publication Name
Analysis of Rare Categories
Language
English
Publication Year
2012
Subject
Group Theory, Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining
Type
Textbook
Subject Area
Mathematics, Computers
Author
Jingrui He
Series
Cognitive Technologies Ser.
Format
Hardcover

Dimensions

Item Weight
13.7 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2011-941602
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
511.3
Table Of Content
Introduction.- Survey and Overview.- Rare Category Detection.- Rare Category Characterization.- Unsupervised Rare Category Analysis.- Conclusion and Future Directions.
Synopsis
Focusing on rare category analysis where the majority classes have smooth distributions and the minority classes exhibit the compactness property, this text focuses on challenging cases where the support regions of both classes overlap., Introduction.- Survey and Overview.- Rare Category Detection.- Rare Category Characterization.- Unsupervised Rare Category Analysis.- Conclusion and Future Directions., 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., This book focuses on rare category analysis where the majority classes have smooth distributions and the minority classes exhibit the compactness property. It focuses on challenging cases where the support regions of the majority and minority classes overlap.
LC Classification Number
Q334-342

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