数据挖掘电子书Mathematical Methods for Knowledge Discovery and Data Mining

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The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance and insurance, manufacturing, marketing, performance  measurement , and telecommunications.

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2009-4-19 21:32:00 上传

数据挖掘电子书Mathematical Methods for Knowledge Discovery and Data Mining
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关键词：Mathematical Data Mining mathematica Mathematic knowledge 电子书 Mining Data knowledge Discovery

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