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introduction to data mining tan ebook download

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Dr Pang-NingTanis a Professor in the Department of Computer Science and Engineering at Michigan State University. He received his M.S. degree in Physics and Ph.D. degree in Computer Science from University of Minnesota. His research interests focus on the development of noveldata miningalgorithms for a broad range of applications, including climate and ecological sciences, cybersecurity ...

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Avoiding False Discoveries: A completely new addition in the second edition is a chapter on how to avoid false discoveries and produce valid results, which is novel among other contemporary textbooks ondata mining. It supplements the discussions in the other chapters with a discussion of the statistical concepts (statistical significance, p-values, false discovery rate, permutation testing ...

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We used this book in a class which was my first academicintroduction to data mining. The book's strengths are that it does a good job covering the field as it was around the 2008-2009 timeframe. Included are discussions of exploringdata, classification, clustering, association analysis, cluster analysis, and anomaly detection.

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