Analysis of rare categories
Resource Information
The work Analysis of rare categories represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Analysis of rare categories
Resource Information
The work Analysis of rare categories represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Analysis of rare categories
- Statement of responsibility
- Jingrui He
- Subject
-
- COMPUTERS -- General
- Computational Intelligence
- Computer science
- Data Mining and Knowledge Discovery
- Data Structures, Cryptology and Information Theory
- Data mining
- Data mining
- Data mining
- Data structures (Computer science)
- Engineering
- Informatique
- Sampling (Statistics)
- Sampling (Statistics)
- Sampling (Statistics)
- Artificial intelligence
- Language
- eng
- 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
- Cataloging source
- GW5XE
- Dewey number
- 006.3/12
- Illustrations
- illustrations
- Index
- no index present
- LC call number
- QA76.9.D343
- LC item number
- H4 2012
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Cognitive technologies,
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/3D3KU5qChJc/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/3D3KU5qChJc/">Analysis of rare categories</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>