DATA MINING FOR SCIENTIFIC AND ENGINEERING APPLICATIONS by Robert L. Grossman (Editor), Chandrika Kamath (Editor), P. Kegelmeyer (Editor) ( 9781402001147 )

Item Details

Title:

DATA MINING FOR SCIENTIFIC AND ENGINEERING APPLICATIONS

By:

Robert L. Grossman (Editor), Chandrika Kamath (Editor), P. Kegelmeyer (Editor)

Format:

Paperback

List price:	£145.00
We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10:

1402001142

ISBN 13:

9781402001147

Publisher:

SPRINGER-VERLAG NEW YORK INC.

Pub. date:

31 October, 2001

Edition:

Softcover reprint of the original 1st ed. 2001

Series:

Massive Computing 2

Pages:

605

Description:

Illustrates the diversity of problems and application areas that can benefit from data mining, as well as issues and challenges that differentiate scientific data mining from its commercial counterpart. This book focuses on mining scientific data. It is suitable for students and researchers who are familiar with basic principles of data mining.

Synopsis:

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 as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. 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.

Illustrations:

XX, 605 p.

Publication:

Imprint:

Springer-Verlag New York Inc.

Returns:

Returnable

Some other items by this author:

DATA MINING FOR SCIENTIFIC AND ENGINEERING APPLICATIONS (HB)

HIGH PERFORMANCE DATA MINING (PB)

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON DATA MINING (PB)

PROCEEDINGS OF THE FOURTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING (PB)

PROCEEDINGS OF THE THIRD SIAM INTERNATIONAL CONFERENCE ON DATA MINING (PB)

SCIENTIFIC DATA MINING (PB)

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