Discovering knowledge in data : an introduction to data mining /

"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 proc...

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Bibliographic Details
Main Authors: Larose, Daniel T., author, Larose, Chantal D.
Format:
Language:eng
Published: Hoboken : John Wiley & Sons Inc., 2014
Subjects:
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author Larose, Daniel T., author
Larose, Chantal D.
author_facet Larose, Daniel T., author
Larose, Chantal D.
author_sort Larose, Daniel T., author
collection OCEAN
description "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"--provided by publisher
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institution Universiti Teknologi Malaysia - OCEAN
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spelling KOHA-OAI-TEST:5063252020-12-19T17:18:45ZDiscovering knowledge in data : an introduction to data mining / Larose, Daniel T., author Larose, Chantal D. Hoboken : John Wiley & Sons Inc.,2014eng"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"--provided by publisher"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"--provided by publisherPSZJBLData miningURN:ISBN:9780470908747 (hbk.)
spellingShingle Data mining
Larose, Daniel T., author
Larose, Chantal D.
Discovering knowledge in data : an introduction to data mining /
title Discovering knowledge in data : an introduction to data mining /
title_full Discovering knowledge in data : an introduction to data mining /
title_fullStr Discovering knowledge in data : an introduction to data mining /
title_full_unstemmed Discovering knowledge in data : an introduction to data mining /
title_short Discovering knowledge in data : an introduction to data mining /
title_sort discovering knowledge in data an introduction to data mining
topic Data mining
work_keys_str_mv AT larosedanieltauthor discoveringknowledgeindataanintroductiontodatamining
AT larosechantald discoveringknowledgeindataanintroductiontodatamining