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Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the ....
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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...
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Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach and Vipin Kumar Lecture slides in both PPT and PDF formats and three sample Chapters on classification, association and clustering available at the above link...
General Information 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...
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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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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...
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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