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Data mining and knowledge discovery approaches based on rule induction techniques. (English) Zbl 1117.68028

Massive Computing 6. New York, NY: Springer (ISBN 0-387-34294-X/hbk). xlviii, 748 p. (2006).
Publisher’s description: This book will give the reader a perspective into the core theory and practice of Data Mining and Knowledge Discovery (DM and KD). Its chapters combine many theoretical foundations for various DM and KD methods, and they present a rich array of examples, many of which are drawn from real-life applications. Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered.
The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts.

MSC:

68P15 Database theory
68-06 Proceedings, conferences, collections, etc. pertaining to computer science
68T05 Learning and adaptive systems in artificial intelligence
68P05 Data structures
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