000			02030cam a2200481 i 4500
001			u15153
003			SA-PMU
005			20210418123306.0
008			160623t20172017flua b 001 0 eng
010			_a 2016024995
040			_aDLC _beng _erda _cDLC _dOCLCF _dYDXCP _dBTCTA _dBDX _dERL _dOCLCQ _dXII _dCHVBK _dOCLCO _dOCLCQ _dDLC _dAJB _dTOH
019			_a949751909 _a968758813
020			_a9781482234893 _q(hardback ; _qalk. paper)
020			_a1482234890 _q(hardback ; _qalk. paper)
020			_a9781315399102
020			_a1315399105
035			_a(OCoLC)952567179 _z(OCoLC)949751909 _z(OCoLC)968758813
042			_apcc
050	0	0	_aQA76.9.D343 _bT67 2017
082	0	0	_a006.3/12 _223
100	1		_aTorgo, Luís, _eauthor.
245	1	0	_aData mining with R : _blearning with case studies / _cLuís Torgo, University of Porto, Portugal.
250			_aSecond edition.
264		1	_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2017.
300			_axix, 405 pages : _billustrations (some color) ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aChapman & Hall/CRC data mining and knowledge discovery series
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references (pages 383-394) and indexes.
505	0		_aIntroduction -- pt. I. R and data mining. Introduction to R -- Introduction to data mining -- pt. II. Case studies. Predicting algae blooms -- Predicting stock market returns -- Detecting fraudulent transactions -- Classifying microarray samples.
650		0	_aData mining _vCase studies.
650		0	_aR (Computer program language)
650		7	_aData mining. _2fast _0(OCoLC)fst00887946
650		7	_aR (Computer program language) _2fast _0(OCoLC)fst01086207
650		7	_aData Mining _2gnd
650		7	_aR _gProgramm _2gnd
650		7	_aCOMPUTERS / Database Management / Data Mining. _2bisacsh
655		7	_aCase studies. _2fast _0(OCoLC)fst01423765
596			_a1
942			_cBOOK
999			_c2441 _d2441