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About this book
Audience: The book is aimed at both academic and practising audiences. It can serve as a reference or textbook for senior or graduate level students in Engineering, Computer, and Management Sciences who are interested in data mining technologies. The book will be useful for practitioners interested in utilizing data mining techniques in design and manufacturing as well as for computer software developers engaged in developing data mining tools.
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Keywords
Table of contents (22 chapters)
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Data Mining in Product Design
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Data Mining in Manufacturing
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Enabling Technologies for Data Mining in Design and Manufacturing
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining for Design and Manufacturing
Book Subtitle: Methods and Applications
Editors: Dan Braha
Series Title: Massive Computing
DOI: https://doi.org/10.1007/978-1-4757-4911-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2001
Hardcover ISBN: 978-1-4020-0034-8Published: 31 October 2001
Softcover ISBN: 978-1-4419-5205-9Published: 08 December 2010
eBook ISBN: 978-1-4757-4911-3Published: 14 March 2013
Series ISSN: 1569-2698
Series E-ISSN: 2468-8738
Edition Number: 1
Number of Pages: XVIII, 524
Topics: Cryptology, Coding and Information Theory, Data Structures and Information Theory, Artificial Intelligence, Complex Systems, Statistical Physics and Dynamical Systems