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008 120329s2012 flua sb 001 0 eng d
020 _a9781439860922 (ebook : PDF)
040 _aFlBoTFG
_cFlBoTFG
090 _aHF5415.126
_b.R38 2012
092 _a658.872
_bR236
100 1 _aRatner, Bruce.
245 1 0 _aStatistical and machine-learning data mining
_h[electronic resource] :
_btechniques for better predictive modeling and analysis of big data /
_cBruce Ratner.
250 _a2nd ed.
260 _aBoca Raton :
_bTaylor & Francis,
_c2012.
300 _axxv, 516 p. :
_bill.
500 _aRev. ed. of: Statistical modeling and analysis for database marketing. c2003.
504 _aIncludes bibliographical references and index.
505 0 _aIntroduction -- Two basic data mining methods for variable assessment -- CHAID-based data mining for paired-variable assessment -- The importance of straight data : simplicity and desirability for good model-building practice -- Symmetrizing ranked data : a statistical data mining method for improving the predictive power of data -- Principal component analysis : a statistical data mining method for many-variable assessment -- The correlation coefficient : its values range between plus/minus 1, or do they? -- Logistic regression : the workhorse of response modeling -- Ordinary regression : the workhorse of profit modeling -- Variable selection methods in regression : ignorable problem, notable solution -- CHAID for interpreting a logistic regression model -- The importance of the regression coefficient -- The average correlation : a statistical data mining measure for assessment of competing predictive models and the importance of the predictor variables -- CHAID for specifying a model with interaction variables -- Market segmentation classification modeling with logistic regression -- CHAID as a method for filling in missing values -- Identifying your best customers : descriptive, predictive, and look-alike profiling -- Assessment of marketing models -- Bootstrapping in marketing : a new approach for validating models -- Validating the logistic regression model : try bootstrapping -- Visualization of marketing modelsdata mining to uncover innards of a model -- The predictive contribution coefficient : a measure of predictive importance -- Regression modeling involves art, science, and poetry, too -- Genetic and statistic regression models : a comparison --
505 8 _aData reuse : a powerful data mining effect of the GenIQ model -- A data mining method for moderating outliers instead of discarding them -- Overfitting : old problem, new solution -- The importance of straight data : revisited -- The GenIQ model : its definition and an application -- Finding the best variables for marketing models -- Interpretation of coefficient-free models.
530 _aAlso available in print edition.
538 _aMode of access: World Wide Web.
650 0 _aDatabase marketing
_xStatistical methods.
650 0 _aData mining
_xStatistical methods.
655 7 _aElectronic books.
_2lcsh
700 1 _aRatner, Bruce.
700 1 _aRatner, Bruce.
_tStatistical modeling and analysis for database marketing.
776 1 _z9781439860915
856 4 0 _uhttp://marc.crcnetbase.com/isbn/9781439860922
_qapplication/PDF
_zDistributed by publisher. Purchase or institutional license may be required for access.
999 _c15116
_d15116