Introduction to Data Mining

Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.

Introduction to Data Mining

Author: Pang-Ning Tan

Publisher:

ISBN: 9780273769224

Page: 864

View: 220

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 provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

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Introduction to Data Mining
Language: un
Pages: 864
Authors: Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar
Categories: Data mining
Type: BOOK - Published: 2018-04-13 - Publisher:

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
Introduction to Data Mining
Language: un
Pages: 736
Authors: Pang-Ning Tan, Michael Steinbach, Vipin Kumar
Categories: Data mining
Type: BOOK - Published: 2014 - Publisher:

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
Introduction to Data Mining
Language: un
Pages: 516
Authors: Pang-Ning Tan, Michael Steinbach, Vipin Kumar
Categories: Data mining
Type: BOOK - Published: 2006 - Publisher:

Books about Introduction to Data Mining
Introduction to Data Mining: Pearson New International Edition
Language: un
Pages: 736
Authors: Pang-Ning Tan, Michael Steinbach, Vipin Kumar
Categories: Computers
Type: BOOK - Published: 2013-08-29 - Publisher: Pearson Higher Ed

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
Introduction to Data Mining EBook: Global Edition
Language: un
Pages: 866
Authors: Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Anuj Karpatne
Categories: Computers
Type: BOOK - Published: 2019-03-04 - Publisher: Pearson UK

Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. 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