File Name Introduction Data Mining Pang Ning Tanpdf Size 6568 KB Type PDF ePub eBook Category Book Uploaded 2020 Dec 05 1745 Rating 465 from 855 votes
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Introduction 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 presents fundamental concepts and algorithms for those learning data mining for the first time
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Introduction to data mining presents fundamental concepts and algorithms for those learning data mining for the first time this book explores each concept and features each major topic organized into two chapters beginning with basic concepts that provide necessary background for understanding each data mining technique followed by more
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This book provides a comprehensive coverage of important data mining techniques numerous examples are provided to lucidly illustrate the key conceptssanjay ranka university of florida in my opinion this is currently the best data mining text book on the market
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Introduction to data mining presents fundamental concepts and algorithms for those learning data mining for the first time each concept is explored thoroughly and supported with numerous examples each major topic is organized into two chapters beginni
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Introduction to data mining first edition pangning tan michigan state university michael steinbach university of minnesota vipin kumar university of minnesota table of contents sample chapters resources for instructors and students solution manual errata
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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