Massive Computing

Data Mining for Scientific and Engineering Applications

Editors: Grossman, R.L., Kamath, C., Kegelmeyer, P., Kumar, V., Namburu, R. (Eds.)

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  • ISBN 978-1-4020-0114-7
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About this book

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.

Table of contents (30 chapters)

  • On Mining Scientific Datasets

    Kamath, Chandrika

    Pages 1-21

  • Understanding High Dimensional and Large Data Sets: Some Mathematical Challenges and Opportunities

    Chandra, Jagdish

    Pages 23-34

  • Data Mining at the Interface of Computer Science and Statistics

    Smyth, Padhraic

    Pages 35-61

  • Mining Large Image Collections

    Burl, Michael C.

    Pages 63-84

  • Mining Astronomical Databases

    Humphreys, Roberta M. (et al.)

    Pages 85-94

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-1-4615-1733-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $359.00
price for USA
  • ISBN 978-1-4020-0033-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4020-0114-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining for Scientific and Engineering Applications
Editors
  • R.L. Grossman
  • C. Kamath
  • P. Kegelmeyer
  • V. Kumar
  • R. Namburu
Series Title
Massive Computing
Series Volume
2
Copyright
2001
Publisher
Springer US
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-1-4615-1733-7
DOI
10.1007/978-1-4615-1733-7
Hardcover ISBN
978-1-4020-0033-1
Softcover ISBN
978-1-4020-0114-7
Series ISSN
1569-2698
Edition Number
1
Number of Pages
XX, 605
Topics