Fr. 220.00

Next Generation of Data Mining

English · Hardback

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Description

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Informationen zum Autor Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar Klappentext Focusing on the future of data mining, this volume addresses a variety of emerging data mining challenges and potential solutions. It shows how innovative data mining tools and techniques can be applied in a range of areas, including e-science, engineering, social science, ecology, finance, and medicine. With contributions from many well-respected researchers and practitioners in the community, the book examines the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. It also discusses the impact of new technologies on data mining and provides recommendations for privacy-preserving mechanisms. Zusammenfassung Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), this work explores technologies and applications in data mining as well as potential challenges faced by the field. Inhaltsverzeichnis Data Mining in e-Science and Engineering. Ubiquitous, Distributed, and High Performance Data Mining. The Web, Semantics, and Text Data Mining. Data Mining in Security, Surveillance, and Privacy Protection. Index.

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