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Handbook of statistical analysis and...

Elder, John F.

Handbook of statistical analysis and data mining applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handbook of statistical analysis and data mining applications /Robert Nisbet, John Elder, Gary Miner.
其他題名:	Handbook of statistical analysis & data mining applications
作者:	Nisbet, Robert.
其他作者:	Elder, John F.
出版者:	Amsterdam ;Academic Press/Elsevier,c2009.
面頁冊數:	xxxiv, 824 p. :ill. (chiefly col.) ;25 cm. +1 DVD-ROM (4 3/4 in.)
標題:	Data miningStatistical methods.
ISBN:	0123747651 (hbk. : alk. paper) :

Handbook of statistical analysis and data mining applications /
Nisbet, Robert.

Handbook of statistical analysis and data mining applications /Handbook of statistical analysis & data mining applicationsRobert Nisbet, John Elder, Gary Miner. - Amsterdam ;Academic Press/Elsevier,c2009. - xxxiv, 824 p. :ill. (chiefly col.) ;25 cm. +1 DVD-ROM (4 3/4 in.)

Includes bibliographical references and index.

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.

ISBN: 0123747651 (hbk. : alk. paper) :NT$2409

LCCN: 2009008997

Nat. Bib. No.: 014-92045bnb

Nat. Bib. Agency Control No.: 014920454UkSubjects--Topical Terms:

289696
Data mining
--Statistical methods.

LC Class. No.: QA76.9.D343 / N57 2009

Dewey Class. No.: 006.3/12

Handbook of statistical analysis and data mining applications /
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246 1 4 $a Handbook of statistical analysis & data mining applications
260 $a Amsterdam ; $a Boston : $b Academic Press/Elsevier, $c c2009.
300 $a xxxiv, 824 p. : $b ill. (chiefly col.) ; $c 25 cm. + $e 1 DVD-ROM (4 3/4 in.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
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700 1 $a Elder, John F. $q (John Fletcher) $3 562976
700 1 $a Miner, Gary. $3 562977