introduction to data mining pang ning tan

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Introduction to Data Mining 1st Edition, Kindle Edition by Vipin Kumar (Author), Pang-Ning Tan Michael Steinbach (Author)

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Author 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.

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

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.

Introduction to Data Mining book by Pang-Ning Tan, Michael ...

by Pang-Ning Tan, Michael Steinbach, Vipin Kumar Be the first to review this item Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time.

Introduction To Data Mining by 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.

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Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. It is also suitable for individuals seeking an introduction to data mining. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed.

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Introduction To Data Mining by Tan, Pang Ning/ Steinbach, Michael/ Kumar, Vipin/ Karpatne, Anuj 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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Table of contents for Introduction to data mining / Pang ...

Table of Contents for Introduction to data mining / Pang-Ning Tan, Michael Steinbach, Vipin Kumar, available from the Library of Congress. Table of contents for Introduction to data mining / Pang-Ning Tan, Michael Steinbach, Vipin Kumar.

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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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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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Sep 06, 2004· Figure 1.2. Data mining as a confluence of many discipli nes. ''*___.. _. 1.4 Data Mining Tasks 7 1.4 Data Mining Tasks Data mining tasks are generally divided into two major categories: Predictive tasks. The objective of these tasks is to predict the value of a par- ticular attribute based on the values of other attributes. The attribute

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CSE 572 Data Mining Spring 2014. Goals: This course will introduce basic concepts, representative algorithms, and state-of-art techniques of data mining. With the rapid advance of computer and internet technologies, a plethora of data accumulates and presents many challenges of big data.

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Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin, 1956- 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.

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Introduction to data mining. [Pang-Ning Tan; Vipin Kumar; Michael Steinbach] -- Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time.

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''Data Mining'' presents fundamental concepts and algorithms for thos elearning 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.Pang-Ning Tan is the author of ''Introduction to Data Mining'', published 2005 under ISBN 9780321321367 and ISBN 0321321367.

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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 ...

Introduction to Data Mining, 2nd Edition - Pearson

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 reader with the necessary background for the application .

Introduction to Data Mining by Pang-Ning Tan at Abbey''s ...

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.