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Data mining and knowledge discovery handbook. (English) Zbl 1087.68029
New York, NY: Springer (ISBN 0-387-24435-2/hbk). xxxv, 1383 p. (2005).
Publisher’s description: This Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases into a coherent and unified repository.
It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.
The Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
The articles of this volume will not be indexed individually.

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