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

Creator

• He, Jingrui

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

Member of

• Cognitive technologies
• Cognitive technologies.

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,