Overview
- State of the art on intelligent systems in data mining applications
- Balanced mixture of theory and practice, includes new development of intelligent systems and data mining applications in business
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 5)
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Table of contents (24 chapters)
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Front Matter
Keywords
About this book
"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.
Bibliographic Information
Book Title: Intelligent Data Mining
Book Subtitle: Techniques and Applications
Editors: Da Ruan, Guoqing Chen, Etienne Kerre, Geert Wets
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/B97578
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-26256-5Published: 24 August 2005
Softcover ISBN: 978-3-642-06576-7Published: 28 October 2010
eBook ISBN: 978-3-540-32407-2Published: 04 August 2005
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 518
Topics: Mathematical and Computational Engineering, Pattern Recognition, Information Systems and Communication Service, IT in Business, Control, Robotics, Mechatronics
Industry Sectors: Aerospace, Automotive, Biotechnology, Electronics, Energy, Utilities & Environment, Engineering, IT & Software, Oil, Gas & Geosciences, Telecommunications