Data Mining for Scientific and Engineering Applications (2001) (Massive Computing #2)

By: and and and and

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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.
Copyright:
2001

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781461517337
Related ISBNs:
9781402000331
Publisher:
Springer US
Date of Addition:
Copyrighted By:
N/A
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
R.L. Grossman
Edited by:
C. Kamath
Edited by:
P. Kegelmeyer
Edited by:
V. Kumar
Edited by:
R. Namburu

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