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This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going.
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Sep 29, 2006 witten ih, frank e: data mining: practical machine learning tools and techniques 2nd edition.
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Synthesis of statistics,machine learning,information theory,and computing has created a solid science, with a þrm mathematical base, and with very powerful tools. Witten and frank present much of this progress in this book and in the companion implementation of the key algorithms. As such, this is a milestone in the synthesis of data mining.
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Like the popular second edition, data mining: practical machine learning tools and techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations.
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Data mining practical machine learning tools and techniques weka is a collection of machine learning algorithms for solving real-world data mining problems. The algorithms can either be applied directly to a data set or called from your own java code.
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This new edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations.
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