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Table of contents (30 chapters)
Keywords
About this book
Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining for Scientific and Engineering Applications
Editors: Robert L. Grossman, Chandrika Kamath, Philip Kegelmeyer, Vipin Kumar, Raju R. Namburu
Series Title: Massive Computing
DOI: https://doi.org/10.1007/978-1-4615-1733-7
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2001
Hardcover ISBN: 978-1-4020-0033-1Published: 31 October 2001
Softcover ISBN: 978-1-4020-0114-7Published: 31 October 2001
eBook ISBN: 978-1-4615-1733-7Published: 01 December 2013
Series ISSN: 1569-2698
Series E-ISSN: 2468-8738
Edition Number: 1
Number of Pages: XX, 605
Topics: Data Structures and Information Theory, Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Engineering, general, Theory of Computation