000			01634cam a2200361 a 4500
999			_c30812 _d30812
003			CUTN
005			20190906145254.0
008			120321s2012 flua b 001 0 eng
020			_a9781466503960 (alk. paper)
020			_a1466503963 (alk. paper)
041			_aEnglish
042			_apcc
082	0	0	_a658.403 _223 _bPUT
100	1		_aPutler, Daniel S.
245	1	0	_aCustomer and business analytics : _bapplied data mining for business decision making using R / _cDaniel S. Putler, Robert E. Krider.
260			_aBoca Raton, FL : _bCRC Press, _cc2012.
300			_axxvi, 289 p. : _bill. ; _c27 cm.
505			_tI.Purpose and Process _t2.A Process Model for Data Mining --CRISP-DM _t3.Basic Tools for Understanding Data _t4.Multiple Linear Regression _t5.Logistic Regression _t6.Lift Charts _t7.Tree Models _t8.Neural Network Models _t9.Putting It All Together _tIII.Grouping Methods _t10.Ward's Method of Cluster Analysis and Principal Components _t11.K-Centroids Partitioning Cluster Analysis
650		0	_aDatabase marketing
650		0	_aData mining.
650		0	_aDecision making
650		0	_aR (Computer program language)
650		0	_aDatabase management.
700	1		_aKrider, Robert E.
942			_2ddc _cBOOKS
490	1		_aChapman & Hall/CRC the R series
504			_aIncludes bibliographical references (p. 283-285) and index.
650		0	_xSoftware.
650		0	_xData processing.
830		0	_aChapman & Hall/CRC the R series.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg