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Introduction to data mining by Tan, Pang-Ning. Publication date 2005 Topics Data mining, Exploration de données (Informatique), Traitement électronique des données, Fouille …

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%0 Book %1 Tan2018 %A Tan, Pang-Ning %A Steinbach, Michael %A Karpatne, Anuj %A Kumar, Vipin %D 2018 %I Pearson %K general_machine_learning %T Introduction to Data Mining

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Introduction to Data Mining 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 are 9780134080284, 0134080289 and the print ISBNs are 9780133128901, 0133128903. Save up to 80% versus print by going digital with VitalSource. Additional …

Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, Vipin

Chapter 1 - Introduction. 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 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.

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Introduction to data mining by Tan, Pang-Ning. Publication date 2006 Topics Data mining Publisher Boston : Pearson Addison Wesley Collection internetarchivebooks; printdisabled Contributor Internet Archive Language English Item Size 2309106262. xxi, 769 p. : 24 cm Includes bibliographical references and indexes

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Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. ... Authors: Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Anuj Karpatne. ... Exploration de données (Informatique) Additional Physical Form Entry: Print version: Introduction to Data Mining, Global Edition. Tan, Pang-Ning. Contents:

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Exploration de données (Informatique) Contents: Introduction. Data. ... Introduction to data mining | WorldCat ... Authors: Pang-Ning Tan (Author), Michael Steinbach (Author), Anuj Karpatne (Author), Vipin Kumar (Author) Print Book, English, 2019. Edition: Second edition View all formats and editions.

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Introduction to Data Mining

About our authors. 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. His research interests focus on the development of novel data mining algorithms for a broad range of …

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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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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 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 organised into two chapters, beginning with basic concepts that …

Pang-Ning Tan, Michael Steinbach, Vipin Kumar …

Pang-Ning Tan, Michael Steinbach, Vipin Kumar-Introduction to Data Mining-Pearson (2005).pdf. 44,475 KB.

Introduction to Data Mining by Pang-Ning Tan | Goodreads

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.

Introduction to Data Mining

Pang-Ning Tan, Michael Steinbach, Vipin Kumar No preview available - 2014 Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Vipin Kumar No preview available - 2006

Introduction à la classification des données de télédétection

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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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