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Introduction to Data Mining by Pang-Ning Tan | Open Library

An edition of Introduction to Data Mining (2018) Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, and Vipin Kumar. 0 Ratings 17 Want to read; 1 Currently reading; 0 Have read; Share.

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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 This item:Introduction to Data Mining by Pang-Ning Tan Hardcover $127.99. Tan, Steinbach and Kumar did a good job. It is definitely a good read on Data Mining (DM).

Introduction to Data Mining

For courses in data mining and database systems. 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. Presented …

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Data mining (DM) (Tan et al. 2018) is the process of discovering patterns in large datasets involving methods at the intersection of machine learning, statistics, and database systems.DM is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a dataset and …

Introduction to Data Mining

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

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.

Introduction to Data Mining

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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Introduction 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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style="margin:0px;">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 ...

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Introduction to Data Mining

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INTRODUCTION TO DATA MINING 2ND EDITION by PANG-NING TAN MICHAEL STEINBACH ANUJ KARPATNE VIPIN KUMAR, Sep 27, 2021, PEARSON INDIA, Generic edition, paperback

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Pang-Ning Tan, Michael Steinbach, Vipin Kumar. 3.00. 3 ratings1 review. 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. Each major topic is organized into two chapters, beginning with basic ...

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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 …

Introduction to Data Mining

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About This Book. 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 …

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

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import existing book. August 17, 2010. Edited by IdentifierBot. added LibraryThing ID. April 30, 2008. Created by an anonymous user. Imported from amazon record . Introduction to Data Mining by Pang-Ning Tan, June 30, 2006, ADDISON WESLEY PUBLI edition, Paperback in English.

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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 and machine learning algorithms for a broad range of ...

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Pang-Ning Tan: Dr. Tan is a Professor in the Department of Computer Science and Engineering at the Michigan State University. He received my Ph.D. degree in Computer Science from the University of …

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What is Data Mining Software? Data mining software provides companies with the tools to extract data from multiple sources to identify possible patterns turn it into usable …

Introduction to Data Mining

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.Presented in a clear and accessible way, the …

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ISBN-13: 9780133128901. Introduction to Data Mining introduces the basic ideas and algorithms of information mining.The textual content provides a complete overview of the background and normal themes of information mining and is designed to be helpful to college students, instructors, researchers and professionals.

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Introduction to data mining by Tan, Pang-Ning. Publication date 2005 Topics ... and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics."--Jacket Includes bibliographical references and indexes Access-restricted-item true Addeddate 12:10:36

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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 …

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Pang-Ning Tan, Michael Steinbach, Vipin Kumar. 'Introduction to Data Mining' presents fundamental concepts and algorithms for those learning data mining. 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 …

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