About the Book:
This book distinguishes between statistical data mining and machine-learning data mining. Effective Techniques for Mining Big Data, contains 17 chapters of innovative and practical statistical data mining techniques. The second edition, reflects the increased coverage of machine-learning data mining techniques completely revised, reorganized, and repositioned the original chapters and has produced 14 new chapters of creative and useful machine-learning data mining techniques.
Table of Contents
Two Basic Data Mining Methods for Variable AssessmentCHAID-based Data Mining for Paired-Variable AssessmentThe Importance of Straight DataSymmetrizing Ranked DataPrincipal Component AnalysisThe Correlation CoefficientLogistic Regression. Ordinary RegressionVariable Selection Methods in Regressionalidating the Logistic Regression Model. Visualization of Marketing ModelsThe Predictive Contribution Coefficienthe Importance of Straight DataThe GenIQ ModelFinding the Best Variables for Marketing ModelsInterpretation of Coefficient-Free Models
