Condition: Brand New. Book is in NEW condition. During the past decade there has been an explosion in computation and information technology. International Edition. and Ph.D. degrees in Computer Science. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed. Pearson, 2018. The print version of this textbook is ISBN: 9780133128901, 0133128903. Condition: New. Pearson, 2018. 1.1 What is Data Mining? 2nd Edition . Order it now. Some book may show sales disclaimer such as "Not for Sale or Restricted in US" on the cover page but it is absolutely legal to use in US or Canada. ISBN-10: 0273769227. eISBN-13: 9780134080284. eBook Features . His research interests lie in the development of data mining and machine learning algorithms for solving scientific and socially relevant problems in varied disciplines such as climate science, hydrology, and healthcare. Category: E-Textbook. 1.7 Exercises . Dr Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University. Due to the ever-increasing complexity and size of data sets and the wide … - Selection from Discovering Knowledge in Data: An Introduction to Data Mining, 2nd Edition [Book] Save up to 80% by choosing the eTextbook option for ISBN: 9780134080284, 0134080289. INTERNATIONAL EDITION. Description Reviews (3) ISBN-13: 978-0273769224. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation. Add to cart. Each concept is explored thoroughly and supported with numerous examples. Digital Notes and Study Tools Built-in study tools include highlights, study guides, annotations, definitions, flashcards, and collaboration. Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, "Introduction to Data Mining", Pearson Addison Wesley, 2008, ISBN: 0-32-134136-7. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The book printed in black and white, generally send in twenty-four hours after the order confirmed. Not low quality India edition. This research has resulted in more than 100 papers published in the proceedings of major data mining conferences or computer science or domain journals. Seller Inventory # 0133128903-2-1, Book Description Pearson. All shipments go through via USPS/UPS/DHL with tracking numbers. CD/DVD or access codes may not be included.�100% Customer satisfaction guaranteed! Condition: New. 2nd Edition. Project ! Dust Jacket Condition: New. I needed a chapter for a project, you're a lifesaver. soft cover. He has published more than 130 technical papers in the area of data mining, including top conferences and journals such as KDD, ICDM, SDM, CIKM, and TKDE. 2nd ed. A+ Customer service! Condition: New. Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. Brand new! $113.35. Dr. Anuj Karpatne is a Post Doctoral Associate in the Department of Computer Science and Engineering at the University of Minnesota. Second edition includes new/revised sections on supervised learning, opinion mining and sentiment analysis, recommender systems and collaborative filtering, and query log mining ; Ideally suited for classes on data mining, Web mining, Web search, and knowledge discovery in data bases; Provides internet support with lecture slides and project problems; see more benefits. 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. Seller Inventory # K2510001520, More information about this seller Find 9780133128901 Introduction to Data Mining 2nd Edition by Pang-Ning Tan et al at over 30 bookstores. Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. Condition: New. Please feel free to contact us for any queries. Only 7 left in stock (more on the way). Techniques”, Second Edition, 2006 ! Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining … 864 p. Audience: College/higher education. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Slightly from the US Edition library by created an account up to 80 % choosing. 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