Data Mining for Scientific and Engineering Applications edited by R.L. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, R. Namburu.
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 tec...
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Bibliographic Details
| Corporate Author: |
SpringerLink (Online service) |
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| Other Authors: |
Grossman, R.L
(Editor),
Kamath, C.
(Editor),
Kegelmeyer, P.
(Editor),
Kumar, V.
(Editor),
Namburu, R.
(Editor) |
|---|
| Format: | eBook
|
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| Language: | English |
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| Published: |
New York, NY :
Springer US : Imprint: Springer,
2001.
|
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| Edition: | 1st ed. 2001. |
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| Series: | Massive Computing,
2
Springer eBook Collection.
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| Subjects: | |
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| Online Access: | Click to view e-book
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| Holy Cross Note: | Loaded electronically.
Electronic access restricted to members of the Holy Cross Community. |
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