Scientific Data Mining
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Scientific Data Mining
| Author | : Chandrika Kamath |
| Publisher | : SIAM |
| Total Pages | : 295 |
| Release | : 2009-06-04 |
| Genre | : Mathematics |
| ISBN | : 0898716756 |
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Chandrika Kamath describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science and engineering domains. Starting with a survey of analysis problems in different applications, it identifies the common themes across these domains.
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