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Pang-Ning Tan Michael Steinbach and Vipin Kumar Introduction to Data Mining Pearson Addison Wesley 2008 ISBN 0-32-134136-7 Project During Lab hours The project will be divided into small tasks a new task every week The project can be done individually Groups of no more than 2...

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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 p-values false discovery rate permutation testing...

About the Author Dr Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University He received his MS degree in Physics and PhD degree in Computer Science from University of Minnesota His research interests focus on the development of novel data mining algorithms for a broad range of applications including climate and ecological...

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Introduction to Data Mining First Edition May 2005 May 2005 Read More Authors Pang-Ning Tan Michael Steinbach Vipin Kumar Publisher Addison-Wesley Longman Publishing Co Inc 75 Arlington Street Suite 300 Boston MA United States Sun Y Zhang C Pang J Alcade B and Mauw S A trust-augmented voting scheme for collaborative...

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Dr Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University He received his MS degree in Physics and PhD degree in Computer Science from University of Minnesota His research interests focus on the development of novel data mining algorithms for a broad range of applications including climate and ecological sciences cybersecurity...

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 exampl Each major topic is organized into two chapters beginni...

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Outline Machine Learning Machine Learning Problems Machine Learning Process Machine Learning Tools Techniques Books I Data Mining Concepts and Technique H Witten Eibe Frank and Mark A Hall Third Edition I Data Mining Introductory and Advanced Topics Margaret H Dunham I Introduction to Data Mining Pang-Ning Tan Michael Steinbach...

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 exampl The text requires only a modest background in mathematics Each major topic is organized into two chapters beginning with basic concepts that provide necessary background for understanding each...

Introduction to Data Mining Global Edition 2nd Edition by Pang-Ning Tan Michael Steinbach Vipin Kumar Anuj Karpatne and Publisher Pearson Intl Save up to 80 by choosing the eTextbook option for ISBN 9780273775324 0273775324 The print version...

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