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Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first timeEach concept is explored thoroughly and supported with numerous exampl The text requires only a modest background in mathematics

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"Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics"--BOOK JACKET xxi, 769 p : ill ; 24 cm Mineração de dados Recuperação da informação Data mining

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Introduction to Data Mining 2nd Edition by Pang-Ning Tan; Michael Steinbach; Anuj Karpatne; Vipin Kumar and Publisher Pearson Save up to 80% by choosing the eTextbook option for ISBN: 9780134080284, 0134080289 The print version of this textbook is ISBN: 9780133128901, 0133128903

Feb 14, 2018· 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, p-values, false discovery rate, permutation testing .

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