| Description |
1 online resource (xxiv, 410 pages) : illustrations |
| Series |
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series |
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Chapman & Hall/CRC data mining and knowledge discovery series.
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| Contents |
I. Preliminaries and statistical contrast measures ; Preliminaries / Guozhu Dong -- Statistical measures for contrast patterns / James Bailey -- II. Contrast mining algorithms ; Mining emerging patterns using tree structures or tree based searches / James Bailey and Kotagiri Ramamohanarao -- Mining emerging patterns using zero-suppressed binary decision diagrams / James Bailey and Elsa Loekito -- Efficient direct mining of selective discriminative patterns for classification / Hong Cheng, Jiawei Han, Xifeng Yan, and Philip S. Yu -- Mining emerging patterns from structured data / James Bailey -- Incremental maintenance of emerging patterns / Mengling Feng and Guozhu Dong -- III. Generalized contrasts, emerging data cubes, and rough sets ; More expressive contrast patterns and their mining / Lei Duan, Milton Garcia Borroto, and Guozhu Dong -- Emerging data cube representations for OLAP database mining / Sébastien Nedjar, Lotfi Lakhal, and Rosine Cicchetti -- Relation between jumping emerging patterns and rough set theory / Pawel Terlecki and Krzysztof Walczak -- |
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IV. Contrast mining for classification and clustering ; Overview and analysis of contrast pattern based classification / Xiuzhen Zhang and Guozhu Dong -- Using emerging patterns in outlier and rare-class prediction / Lijun Chen and Guozhu Dong -- Enhancing traditional classifiers using emerging patterns / Guozhu Dong and Kotagiri Ramamohanarao -- CPC : a contrast pattern based clustering algorithm / Neil Fore and Guozhu Dong -- V. Contrast mining for bioinformatics and chemoinformatics ; Emerging pattern based rules characterizing subtypes of leukemia / Jinyan Li and Limsoon Wong -- Discriminating gene transfer and microarray concordance analysis / Shihong Mao and Guozhu Dong -- Toward mining optimal emerging patterns amidst 1000s of genes / Shihong Mao and Guozhu Dong -- Emerging chemical patterns : theory and applications / Jens Auer, Martin Vogt, and Jürgen Bajorath -- Emerging patterns as structural alerts for computational toxicology / Bertrand Cuissart, Guillaume Poezevara, Bruno Crémilleux, Alban Lepailleur, and Ronan Bureau -- |
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VI. Contrast mining for special domains ; Emerging patterns and classification for spatial and image data / Łukasz Kobyliński and Krzysztof Walczak -- Geospatial contrast mining with applicatons on labeled spatial data / Wei Ding, Tomasz F. Stepinski, and Josue Salazar -- Mining emerging patterns for activity recognition / Tao Gu, Zhanqing Wu, XianPing Tao, Hung Keng Pung, and Jian Lu -- Emerging pattern based prediction of heart diseases and powerline safety / Keun Ho Ryu, Dong Gyu Lee, and Minghao Piao -- Emerging pattern based crime spots analysis and rental price prediction / Naoki Katoh and Atsushi Takizawa -- VII. Survey of other papers ; Overview of results on contrast mining and applications / Guozhu Dong |
| 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 |
| Bibliography |
Includes bibliographic references (pages 363-402) |
| Notes |
Print version record |
| Subject |
Contrast data mining.
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Data mining.
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Contrast data mining
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Data mining
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| Form |
Electronic book
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| Author |
Bailey, James, 1971 June 30- editor, author.
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| ISBN |
9781439854334 |
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1439854335 |
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