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Handbook of statistical analysis and data mining applications / Robert Nisbet, John Elder, Gary Miner.

By: Nisbet, RobertContributor(s): Elder, John F | Miner, GaryMaterial type: TextTextLanguage: English Publication details: Amsterdam ; Boston : Academic Press/Elsevier, c2009. Description: xxxiv, 824 p. : ill. (chiefly col.) ; 25 cm. +ISBN: 9780123747655 (hbk. : alk. paper); 0123747651 (hbk. : alk. paper); 9780123750860 (DVDROM); 0123750865 (DVDROM)Other title: Handbook of statistical analysis & data mining applications [Cover title]Subject(s): Data mining -- Statistical methodsDDC classification: 006.312 LOC classification: QA76.9.D343 | N57 2009Online resources: WorldCat details | Ebook Fulltext
Contents:
TOC History of phases of data analysis, basic theory, and the data mining process -- The algorithms in data mining and text mining, the organization of the three most common data mining tools, and selected specialized areas using data mining -- Tutorials--step-by-step case studies as a starting point to learn how to do data mining analyses -- Measuring true complexity, the "right model for the right use," top mistakes, and the future of analytics.
Summary: Guides business analysts, scientists, engineers and researchers through all stages of data analysis, model building and implementation. This book helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book 		Non-fiction 006.312 NIH 2009 (Browse shelf(Opens below)) Not for loan
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section 		Non-fiction 006.312 NIH 2009 (Browse shelf(Opens below)) C-1 Not For Loan 27474
CDs & DVDs CDs & DVDs Dr. S. R. Lasker Library, EWU
Audio Visual 		Non-fiction 006.312 NIH 2009 (Browse shelf(Opens below)) C-1 Available CD-1518
Text Text Dr. S. R. Lasker Library, EWU
Circulation Section 		Non-fiction 006.312 NIH 2009 (Browse shelf(Opens below)) C-2 Available 28172
Total holds: 0

Includes bibliographical references and index.

TOC History of phases of data analysis, basic theory, and the data mining process -- The algorithms in data mining and text mining, the organization of the three most common data mining tools, and selected specialized areas using data mining -- Tutorials--step-by-step case studies as a starting point to learn how to do data mining analyses -- Measuring true complexity, the "right model for the right use," top mistakes, and the future of analytics.

Guides business analysts, scientists, engineers and researchers through all stages of data analysis, model building and implementation. This book helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application.

AS

Sagar Shahanawaz

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