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Data mining with R = learning with case studies /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data mining with R/ Luís Torgo.
Reminder of title:	learning with case studies /
Author:	Torgo, Luís.
Published:	Boca Raton, FL :Chapman & Hall/CRC, : c2011.,
Description:	1 online resource (xv, 289 p.) :ill. :
Subject:	Data mining - Congresses. -
Online resource:	http://www.crcnetbase.com/isbn/978-1-4398-1018-7
ISBN:	9781439876404 (electronic bk.)

Data mining with R = learning with case studies /
Torgo, Luís.

Data mining with Rlearning with case studies /[electronic resource] :Luís Torgo. - Boca Raton, FL :Chapman & Hall/CRC,c2011. - 1 online resource (xv, 289 p.) :ill. - Chapman & Hall/CRC data mining and knowledge discovery series. - Chapman & Hall/CRC data mining and knowledge discovery series..

Includes bibliographical references and indexes.

"The versatile capabilities and large set of addon packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data mining with R: learning with case studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a handson approach that utilizes a series of detailed, realworld case studies: predicting algae blooms, predicting stock market returns, detecting fraudulent transactions, classifying microarray samples. With these case studies, the author supplies all necessary steps, code, and data. Resource: A supporting website mirrors the doit-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions"--

ISBN: 9781439876404 (electronic bk.)Subjects--Topical Terms:

122301
Data mining
--Congresses.Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: QA76.9.D343 / T67 2011

Dewey Class. No.: 006.3/12

Data mining with R = learning with case studies /
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006 m o d
007 cr |||||||||||
008 160125s2011 flua ob 001 0 eng d
020 $a 9781439876404 (electronic bk.)
020 $a 1439876401 (electronic bk.)
020 $z 9781439810187 (hardback)
020 $z 1439810184 (hardback)
035 $a ocn713838990
040 $a CUS $c CUS $d OCLCQ
050 0 0 $a QA76.9.D343 $b T67 2011
082 0 0 $a 006.3/12 $2 22
100 1 $a Torgo, Luís. $3 268206
245 1 0 $a Data mining with R $h [electronic resource] : $b learning with case studies / $c Luís Torgo.
260 $a Boca Raton, FL : $c c2011. $b Chapman & Hall/CRC,
300 $a 1 online resource (xv, 289 p.) : $b ill.
490 1 $a Chapman & Hall/CRC data mining and knowledge discovery series
504 $a Includes bibliographical references and indexes.
520 $a "The versatile capabilities and large set of addon packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data mining with R: learning with case studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a handson approach that utilizes a series of detailed, realworld case studies: predicting algae blooms, predicting stock market returns, detecting fraudulent transactions, classifying microarray samples. With these case studies, the author supplies all necessary steps, code, and data. Resource: A supporting website mirrors the doit-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions"-- $c Provided by publisher.
520 $a "This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Data mining $v Congresses. $3 122301 $3 176177
650 0 $a R (Computer program language) $3 123939
655 4 $a Electronic books. $2 local. $3 96803
830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series. $3 265361
856 4 0 $u http://www.crcnetbase.com/isbn/978-1-4398-1018-7