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008 110428s2011 fluad sb 001 0 eng d
020 _a9781439876404 (ebook : PDF)
040 _aBD-DhSAU
_cBD-DhSAU
090 _aQA76.9.D343
_bT67 2011
092 _a006.312
_bT682
100 1 _aTorgo, Lu�is.
245 1 0 _aData mining with R
_h[electronic resource] :
_blearning with case studies /
_cLu�is Torgo.
260 _aBoca Raton :
_bChapman and Hall/CRC,
_c2011.
300 _axv, 289 p. :
_bill.
490 1 _aChapman & Hall/CRC data mining and knowledge discovery series
500 _a"A Chapman & Hall book."
504 _aIncludes bibliographical references (p. 269-277) and indexes.
505 0 _a1. Introduction -- 2. Predicting algae blooms -- 3. Predicting stock market returns -- 4. Detecting fraudulent transactions -- 5. Classifying microarray samples.
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"--
_cProvided by publisher.
530 _aAlso available in print edition.
538 _aMode of access: World Wide Web.
650 0 _aData mining
_vCase studies.
650 0 _aR (Computer program language)
655 7 _aElectronic books.
_2lcsh
776 1 _z9781439810187
830 0 _aChapman & Hall/CRC data mining and knowledge discovery series.
856 4 0 _uhttp://marc.crcnetbase.com/isbn/9781439876404
_qapplication/PDF
999 _c12166
_d12165