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Data Mining for Scientific and Engineering Applications

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Data Mining for Scientific and Engineering Applications - Grossman, R L (Editor), and Kamath, C (Editor), and Kegelmeyer, P (Editor)
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Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well ...

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Data Mining for Scientific and Engineering Applications 2001, Springer, New York, NY

ISBN-13: 9781402001147

Trade paperback

Data Mining for Scientific and Engineering Applications 2001, Springer, New York, NY

ISBN-13: 9781402000331

2001 edition

Hardcover