000			01484nam a2200361 a 4500
999			_c39399 _d39399
001			33624
003			BD-DhAAL
005			20211109100337.0
008			180808r20152012flua b 001 0 eng
010			_a 2012008925
016	7		_a016039623 _2Uk
020			_a9781466503960 (alk. paper)
020			_a1466503963 (alk. paper)
035			_a(OCoLC)ocn756596227
040			_aDLC _beng _cDLC _dYDX _dBTCTA _dUKMGB _dYDXCP _dOCLCO _dBWX _dDLC _dBD-DhAAL
042			_apcc
050	0	0	_aHF5415.126 _b.P88 2012
082	0	0	_a658.40302855133 _223
100	1		_aPutler, Daniel S. _927765
245	1	0	_aCustomer and business analytics : _bapplied data mining for business decision making using R / _cDaniel S. Putler and Robert E. Krider.
260			_aBoca Raton, FL : _bCRC Press, _c2015 [reprinted]
300			_axxvi, 289 pages : _billustrations ; _c27 cm.
490	1		_aChapman & Hall/CRC the R series
504			_aIncludes bibliographical references (pages. 283-285) and index.
505			_aI Purpose and Process Database Marketing and Data Mining Database Marketing Data Mining Linking Methods to Marketing Applications A Process Model for Data Mining-CRISP-DM History and Background The Basic Structure of CRISP-DMII Predictive Modeling Tools Basic Tools for Understanding Data Measurement Scales Software ToolsReading Data into R Tutorial Creating Simple Summary Statistics Tutorial Frequency Distributions and Histograms Tutorial Contingency Tables TutorialMultiple Linear Regression Jargon Clarification Graphical and Algebraic Representation of the Single Predictor ProblemMultiple RegressionSummary Data Visualization and Linear Regression TutorialLogistic RegressionA Graphical Illustration of the Problem The Generalized Linear Model Logistic Regression Details Logistic Regression TutorialLift Charts Constructing Lift Charts Using Lift Charts Lift Chart TutorialTree Models The Tree Algorithm Trees Models TutorialNeural Network Models The Biological Inspiration for Artificial Neural Networks Artificial Neural Networks as Predictive Models Neural Network Models TutorialPutting It All Together Stepwise Variable Selection The Rapid Model Development FrameworkApplying the Rapid Development Framework TutorialIII Grouping Methods Ward's Method of Cluster Analysis and Principal Components Summarizing Data Sets Ward's Method of Cluster Analysis Principal Components Ward's Method TutorialK-Centroids Partitioning Cluster Analysis How K-Centroid Clustering Works Cluster Types and the Nature of Customer Segments Methods to Assess Cluster Structure K-Centroids Clustering TutorialBibliography Index
526			_aCSE
650		0	_aDatabase marketing _xSoftware. _927766
650		0	_aData mining. _927767
650		0	_aDecision making _xData processing. _927768
650		0	_a(Computer program language). _927769
650		0	_aDatabase management. _927770
650		0	_aComputer science. _942452
700	1		_aKrider, Robert E. _927771
852			_aAyesha Abed Library _cGeneral Stacks
942			_2ddc _cBK