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· Introduction to Data Mining introduces the fundamental concepts and algorithms of data mining. The text offers 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
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Introduction to Data Mining, 2e Paperback – 30 May 2021 by PANG-NING TAN MICHAEL STEINBACH ANUJ KARPATNE VIPIN KUMAR (Author) 4.2 4.2 out of 5 stars 41 ratings
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Introduction to Data Mining introduces the fundamental concepts and algorithms of data mining. Pang-Ning Tan Michigan State University Michael Steinbach University of Minnesota Vipin Kumar University of Minnesota eTextbook C$54.99 Print C$199.99 C$
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Author (s): Tan, Pang-Ning;Steinbach, Michael;Kumar, Vipin. Publisher: Pearson, Year: 2013. Description: If you are a student who is looking to learn the requisite math and computer science for the first time, then you might want to check out Introduction to Data Mining. The definitions are clarified thoroughly and there are many examples of this.
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:Introduction To Data MiningPang-Ning Tan Michael Steinbach Vipin KumarIntroduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and
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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
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Introduction to Data Mining 1st Edición de Pang-Ning Tan (Author), Michael Steinbach (Author), Vipin Kumar (Author) & 0 más 4.2 4.2 de 5 estrellas 275 calificaciones
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· Data Mining : Non-trivial extraction of implicit, previously unknown and potentially useful information from data. Exploration & analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns. 1 Introduction. Fields-business, medicine, science & engineering.
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:Introduction to Data MiningLanguage:english · Provides both theoretical and practical coverage of all data mining topics. Includes extensive number of integrated examples and figures. Offers instructor resources including solutions for exercises and
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4.2/5(275)Introduction to Data Mining (Pearson+) 2nd Edition is written by Pang-Ning Tan;Michael Steinbach;Vipin Kumar and published by Pearson+. The Digital and eTextbook ISBNs for Introduction to Data Mining (Pearson+) are 9780137506286, 0137506287 and the print ISBNs are 9780133128901, 0133128903. Save up to 80% versus print by going digital
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· Introducing the fundamental concepts and algorithms of data mining 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.
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4.2/5(275) · Data Mining : Non-trivial extraction of implicit, previously unknown and potentially useful information from data. Exploration & analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns. 1 Introduction. Fields-business, medicine, science & engineering.
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Introduction to Data Mining Author Pang-Ning Tan Publisher Pearson ISBN 813176463X, 9788131764633 Export Citation BiBTeX EndNote RefMan About Google Books
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:Introduction To Data MiningPang-Ning Tan Michael Steinbach Vipin Kumar · "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
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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 examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that
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Contents Preface to the Second Edition 1 Introduction 1.1 What Is Data Mining? . . . . . . . . 1.2 Motivating Challenges . . . . . . . . 1.3 The Origins of Data Mining . . . . . 1.4 Data
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Vipin Kumar, Pang-Ning Tan, Michael Steinback, Anuj Karpatne 🔍. “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. KEY TOPICS: Provides both theoretical and practical coverage of all data
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Introduction to Data Mining Author Pang-Ning Tan Michael Steinbach Vipin Kumar Language english ISBN 9781292026152 Year 2013 Pages 719 File Size 12 MB Total Downloads 1,894 Total Views 15,533 Pages In File 719 Identifier 978-1-292-02615-2
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: 279Github repository for Data Science Course Fall 2018 offered at Information Technology University, Punjab Pakistan.-FaizSaeed/Data-Science-Course
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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 examples. The
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· Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar No preview available-2019 Introduction to ,
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:Introduction To Data MiningPang-Ning Tan Michael Steinbach Vipin KumarIntroduction 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
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Solutions for Introduction to Data Mining 1st Pang-Ning Tan, Michael Steinbach, Vipin Kumar Get access to all of the answers and step-by-step video explanations to this book and 5,000+ more. "Numerade is far more than just what we see. I mean it provides
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