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Contrast data mining : concepts, algorithms, and applications /

This volume collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining,...

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Bibliographic Details
Other Authors: Dong, Guozhu, 1957- (Editor), Bailey, James, 1971 June 30- (Editor)
Format: Electronic eBook
Language:Inglés
Published: [Boca Raton, FL] : Chapman and Hall/CRC Press, ©2016.
Edition:1st.
Series:Chapman & Hall/CRC data mining and knowledge discovery series.
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Description
Summary:This volume collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical, and business domains. In this volume, researchers from around the world specializing in architecture engineering, bioinformatics, computer science, medicine, and systems engineering focus on the mining and use of contrast patterns. They demonstrate many useful and powerful capabilities of a variety of contrast mining techniques and algorithms, including tree-based structures, zero-suppressed binary decision diagrams, data cube representations, and clustering algorithms. They also examine how contrast mining is used in leukemia characterization, discriminative gene transfer and microarray analysis, computational toxicology, spatial and image data classification, voting analysis, heart disease prediction, crime analysis, understanding customer behavior, genetic algorithms, and network security.
Physical Description:1 online resource (xxiv, 410 pages) : illustrations.
Bibliography:Includes bibliographic references (pages 363-402), and index.
ISBN:9781439854334
1439854335