東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Data mining with R : = learning with...

Torgo, Luâis.

FindBook

Google Book

Amazon

博客來

Data mining with R : = learning with case studies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data mining with R :/ Luis Torgo.
其他題名:	learning with case studies /
作者:	Torgo, Luâis.
出版者:	Boca Raton :Chapman & Hall/CRC, : c2011.,
面頁冊數:	xv, 289 p. :ill. ;25 cm.
標題:	Data mining -
ISBN:	9781439810187 (hbk.) :

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

Data mining with R :learning with case studies /Luis Torgo. - Boca Raton :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 (p. 269-277) 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.) :UK49.99Subjects--Topical Terms:

744342
Data mining

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

Dewey Class. No.: 006.3/12

Data mining with R : = learning with case studies /
LDR:02556cam a2200217 a 4500 001 1267305
003 OCoLC
005 20120904212904.0
008 120907s2011 flua b 001 0 eng d
020 $a 9781439810187 (hbk.) : $c UK49.99
020 $a 1439810184 (hbk.)
035 $a AS-BW-101-04
040 $a DLC $c DLC $d YDX $d YDXCP $d CDX $d BWX $d UKMGB
050 0 0 $a QA76.9.D343 $b T67 2011
082 0 0 $a 006.3/12 $2 22
100 1 $a Torgo, Luâis. $3 1535372
245 1 0 $a Data mining with R : $b learning with case studies / $c Luis Torgo.
260 # $a Boca Raton : $b Chapman & Hall/CRC, $c c2011.
300 $a xv, 289 p. : $b ill. ; $c 25 cm.
490 1 0 $a Chapman & Hall/CRC data mining and knowledge discovery series
504 $a Includes bibliographical references (p. 269-277) and indexes.
520 # $a "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"-- $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.
650 # 0 $a Data mining $3 744342
650 # 0 $a R (Computer program language) $3 784593
830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series. $3 1097255