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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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    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

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    each outcome from the data, then this is more like the problems considered by data mining. However, in this specific case, solu-tions to this problem were developed by mathematicians a long time ago, and thus, we wouldn’t consider it to be data mining. (f) Predicting the future stock price of a company using historical records. Yes. We would

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  • Online Documents, Books and Tutorials Data mining

    Data Mining. 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. Data Mining Concepts and Techniques (3rd edition) by Jiawei Han, Micheline Kamber & Jian Pei

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  • Introduction to data mining / Pang-Ning Tan, Michael

    "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. Contents. 1. Introduction 2. Data 3. Exploring data 4. Classification : basic concepts

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    Author : Pang-Ning Tan Pages : 769 Publication Date :2005-05-12 Release Date : ISBN : Product Group :Book Download PDF Introduction to Data Mining PDF books

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    • Introduction to Data Mining-by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar • Data Mining: Concepts and Techniques-by JiaweiHan and MichelineKamber • Summary:Our own slides + some mix from the slides for the books above. MAINDEFINITIONSANDGOALS • Data mining is a generally well-founded practical disciplinethat aims to identify interesting new relationships and patterns from data

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    Tan, Pang-Ning Subjects Data mining.; Mineração de dados.; Database management. Audience Specialized Summary "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

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    5 References zPang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Pearson Addison Wesley, 2005. zJiawei Han, Micheline Kamber, Data Mining : Concepts and Techniques, 2nd edition, Morgan Kaufmann, 2006. zIan Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd Edition, Morgan Kaufmann, 2005.

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    Introduction to Data Mining, (First Edition) Feilong Chen,Jerry Scripps,Pang-Ning Tan, Link Mining for a Social Bookmarking Web Site, Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, p.169-175, December 09-12, 2008. Cited by: 1896; Introduction to Data Mining 2nd edition

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    – Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, 2003 Data Mining: Concepts and Techniques by Jiawei Han and Micheline Kamber, 2000 . University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining I C Q

  • Introduction to Data Mining Pang-Ning Tan, Michael

    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. 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

  • Reviews: 1
  • Introduction to Data Mining Pang-Ning Tan, Michael

    Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Anuj Karpatne No preview available 2018. About the author (2019) 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

  • Editions of Introduction to Data Mining by Vipin Kumar

    Editions for Introduction to Data Mining: 0321321367 (Hardcover published in 2005), 0133128903 (Hardcover published in 2018), 7115241007 (Paperback publi...

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