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Discovering knowledge in data = an i...
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Larose, Daniel T.
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Discovering knowledge in data = an introduction to data mining /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Discovering knowledge in data/ Daniel T. Larose and Chantal D. Larose.
Reminder of title:
an introduction to data mining /
Author:
Larose, Daniel T.
other author:
Larose, Chantal D.
Published:
Hoboken :Wiley, : 2014.,
Description:
1 online resource (xviii, 316 p.)
Subject:
Data mining. -
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9781118874059
ISBN:
9781118873571
Discovering knowledge in data = an introduction to data mining /
Larose, Daniel T.
Discovering knowledge in data
an introduction to data mining /[electronic resource] :Daniel T. Larose and Chantal D. Larose. - 2nd ed. - Hoboken :Wiley,2014. - 1 online resource (xviii, 316 p.) - Wiley series on methods and applications in data mining. - Wiley series on methods and applications in data mining..
Includes bibliographical references and index.
"This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"--
ISBN: 9781118873571
LCCN: 2014003777Subjects--Topical Terms:
562972
Data mining.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.3/12
Discovering knowledge in data = an introduction to data mining /
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an introduction to data mining /
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"This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"--
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http://onlinelibrary.wiley.com/book/10.1002/9781118874059
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W9271292
電子資源
11.線上閱覽_V
電子書
EB QA76.9.D343
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