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Data mining with R :learning with ca...
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Torgo, Luís.
Data mining with R :learning with case studies /
Record Type:
Projected and video material : 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:
xv, 289 p. :ill. ; : 25 cm.;
基督教聖經之智慧書導讀 :
"The versatile capabilities and large set of add-on 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 hands-on approach that utilizes a series of detailed, real-world 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 do-it-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"--
Subject:
R (Computer program language) -
ISBN:
9781439810187 (hbk.) :
Data mining with R :learning with case studies /
Torgo, Luís.
Data mining with R :
learning with case studies /Luís Torgo. - Boca Raton, FL :Chapman & Hall/CRC,c2011. - xv, 289 p. :ill. ;25 cm. - 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 add-on 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 hands-on approach that utilizes a series of detailed, real-world 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 do-it-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: 9781439810187 (hbk.) :NT2801
LCCN: 2010036935Subjects--Topical Terms:
253547
R (Computer program language)
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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Data mining with R :
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learning with case studies /
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Luís Torgo.
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Boca Raton, FL :
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xv, 289 p. :
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Chapman & Hall/CRC data mining and knowledge discovery series
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"The versatile capabilities and large set of add-on 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 hands-on approach that utilizes a series of detailed, real-world 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 do-it-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"--
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Provided by publisher.
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"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"--
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到館:2014/06/10
$d
編目:2014/05/28
based on 0 review(s)
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前棟3F一般圖書區(圖書館) 3F General Monographic Collections (Front Building)
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1 records • Pages 1 •
1
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前棟3F一般圖書區(圖書館) 3F General Monographic Collections (Front Building)
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312.91 T682 2011
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1 records • Pages 1 •
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