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Contact UsIntroduction to Data Mining, Second Edition, is intended for use in the Data Mining course It is also suitable for individuals seeking an introduction to data mining The text assumes only a modest statistics or mathematics background, and no database knowledge is needed...
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 Wikipedia Read associated articles Affinity analysis, Data mining, Jaccard index Bookmark...
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Feb 14, 2018 0183 32 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 ....
Book Description Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms...
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data mining class Some of the exercises and presentation slides that they created can be found in the book and its accompanying slid Students in our data mining groups who provided comments on drafts of the book or who contributed in other ways include Shyam Boriah, Haibin Cheng, Varun...
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