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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 on data mining. It supplements the discussions in the other chapters with a discussion of the statistical concepts (statistical significance, pvalues, false discovery rate, permutation testing ...
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Why Mine Data? Scientific Viewpoint OData collected and stored at enormous speeds (GB/hour) – remote sensors on a satellite – telpes scanning the skies – microarrays generating gene
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We are going to conclude our list of free books for learning data mining and data analysis, with a book that has been put together in nine chapters, and pretty much each chapter is written by someone else; but it all makes perfect sense together.
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