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Data mining with R[electronic resource] :learning with case studies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3/12
書名/作者:	Data mining with R : learning with case studies // Luís Torgo.
作者:	Torgo, Luís.
出版者:	Boca Raton, FL : : Chapman & Hall/CRC,, c2011.
面頁冊數:	1 online resource (xv, 289 p.) : : ill.
標題:	Data mining
標題:	R (Computer program language)
ISBN:	9781439876404 (electronic bk.)
ISBN:	1439876401 (electronic bk.)
書目註:	Includes bibliographical references and indexes.
摘要、提要註:	"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"--
電子資源:	http://www.crcnetbase.com/isbn/978-1-4398-1018-7

Data mining with R[electronic resource] :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:

174259
Data mining
Index Terms--Genre/Form:

336502
Electronic books.

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

Dewey Class. No.: 006.3/12

Data mining with R[electronic resource] :learning with case studies /
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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 558649
245 1 0 $a Data mining with R $h [electronic resource] : $b learning with case studies / $c Luís Torgo.
260 $a Boca Raton, FL : $b Chapman & Hall/CRC, $c c2011.
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 $3 174259
650 0 $a R (Computer program language) $3 465792
655 4 $a Electronic books. $2 local $3 336502
830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series. $3 488186
856 4 0 $u http://www.crcnetbase.com/isbn/978-1-4398-1018-7