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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 M S degree in Physics and Ph D 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

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We used this book in a class which was my first academic introduction to data mining The book s strengths are that it does a good job covering the field as it was around the 2008 2009 timeframe Included are discussions of exploring data classification clustering association analysis cluster analysis and anomaly detection

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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

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You can write a book review and share your experiences Other readers will always be interested in your opinion of the books you ve read Whether you ve loved the book or not if you give your honest and detailed thoughts then people will find new books that are right for them

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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 Exploration de données Informatique Data

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