Data mining for scientific and engineering applications /

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)
Other Authors: Grossman, Robert, 1957-
Format: eBook
Language:English
Published: Dordrecht ; Boston, Mass. : Kluwer Academic, [2001]
Series:Massive computing (Unnumbered)
Subjects:
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Call Number: QA76.9.D343 D383 2001eb
 
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