Statistical modeling and analysis for database marketing : effective techniques for mining big data /: effective techniques for mining big data. (©2003)

• Record Type: Book
• Further Information: Note: Bruce Ratner.
• Other Names: Ratner, Bruce
• Contents: Contents Introduction ; The Personal Computer and Statistics; Statistics and Data Analysis; EDA; The EDA Paradigm; EDA Weaknesses; Small and Big Data; Data Mining Paradigm; Statistics and Machine Learning; Statistical Learning; References; Two Simple Data Mining Methods for Variable Assessment; Correlation Coefficient; Scatterplots; Data Mining; Smoothed Scatterplot; General Association Test; Summary; References; Logistic Regression: The Workhorse of Database Response Modeling; Logistic Regression Model; Case Study; Logits and Logit Plots; The Importance of Straight Data; Re-expressing for Straight Data; Straight Data for Case Study; Techniques When Bulging Rule Does Not Apply; Re-expressing MOS_OPEN; Assessing the Importance of Variables; Important Variables for Case Study; Relative Importance of the Variables; Best Subset of Variables for Case Study; Visual Indicators of Goodness of Model Predictions; Evaluating the Data Mining Work; Smoothing a Categorical Variable; Additional Data Mining Work for Case Study; Summary; Ordinary Regression: The Workhorse of Database Profit Modeling; Ordinary Regression Model; Illustration; Mini Case Study; Important Variables for Mini Case Study; Best Subset of Variable for Case Study; Summary; CHAID for Interpreting a Logistic Regression Model; Logistic Regression Model; Database Marketing Response Model Case Study; CHAID; Multivariable CHAID Trees; CHAID Market Segmentation; CHAID Tree Graphs; Summary; The Importance of the Regression Coefficient; The Ordinary Regression Model; Four Questions; Important Predictor Variables; P-values and BIG Data; Returning to Question #1; Predictor Variable’s Effect On Prediction; The Caveat; Returning to Question #2; Ranking Predictor Variables By Effect On Prediction; Returning to Question #3; Returning to Question #46.12 Summary; Reference; The Predictive Contribution Coefficient: A Measure of Predictive Importance; Background; Illustration of Decision Rule, Predictive Contribution Coefficient; Calculation of Predictive Contribution Coefficient; Extra Illustration of Predictive Contribution Coefficient; Summary; Reference; CHAID for Specifying a Model with Interaction Variables; Interaction Variables; Strategy for Modeling with Interaction Variables; Strategy Based on the Notion of a Special Point; Example of a Response Model with an Interaction Variable; CHAID for Uncovering Relationships; Illustration of CHAID Specifying a Model; An Exploratory Look; Database Implication; Summary; Reference; Market Segment Classification Modeling with Logistic Regression; Binary Logistic Regression; Polychotomous Logistic Regression Model; Model Building With PLR; Market Segmentation Classification Model; Summary; CHAID as a Method for Filling in Missing Values; Introduction to the Problem of Missing Data; Missing-data Assumption; CHAID Imputation ; Illustration; CHAID Most-likely Category Imputation for a Categorical Variable; Summary; Reference; Identifying Your Best Customers: Descriptive, Predictive and Look-alike Profiling; Some Definitions; Illustration of a Flawed Targeting Effort; Well-Defined Targeting Effort; Predictive Profiles; Continuous Trees; Look-alike Profiling; Look-alike Tree Characteristics; Summary Assessment of Database Marketing Models ; Accuracy for Response Model; Accuracy for Profit Model; Decile Analysis and Cum Lift for Response Model; Decile Analysis and Cum Lift for Profit Model; Precision for Response Model; Construction of SWMAD; Separability for Response and Profit Models; Guidelines for Using Cum Lift, HL/SWMAD and CV; Summary; Bootstrapping in Database Marketing: A New Approach for Validating Models; Traditional Model Validation; Illustration; Three Questions; The Bootstrap; How to Bootstrap; Bootstrap Decile Analysis Validation; Another Question; Bootstrap Assessment of Model Implementation Performance; Bootstrap Assessment of Model Efficiency; Summary; Reference Visualization of Database Models ; Brief History of the Graph; Star Graph Basics; Star Graphs for Single Variables; Star Graphs for Many Variables Considered Jointly; Profile Curves Method; Illustration; Summary; SAS Code for Star Graphs for Each Demographic Variable about the Deciles SAS Code for Star Graphs for Each Decile About the Demographic Variables; SAS Code for Profile Curves: All Deciles; Reference; Genetic Modeling in Database Marketing: The GenIQ Model; What Is Optimization?; What Is Genetic Modeling; Genetic Modeling: An Illustration; Parameters for Controlling a Genetic Model Run; Genetic Modeling: Strengths and Limitations; Goals of Modeling in Database Marketing; The GenIQ Response Model; The GenIQ Profit Model; Case Study-Response Model; Case Study-Profit Model; Summary; Reference; Finding the Best Variables for Database Marketing Models; Background; Weakness in the Variable Selection Methods; Goals of Modeling in Database Marketing; Variable Selection with GenIQ; Nonlinear Alternative to Logistic Regression Model; Summary; Reference Interpretation of Coefficient-free Models ; The Linear Regression Coefficient; Illustration for the Simple Ordinary Regression Model; The Quasi-Regression Coefficient for Simple Regression Models; Partial Quasi-RC for the Everymodel; Quasi-RC for a Coefficient-free Model; Summary
• Publisher Details: Boca Raton, Fla : Chapman & Hall/CRC
• Publication Date: 2003
• Copyright Date: 2003
• Extent: 1 online resource (362 pages), illustrations
• Subjects: 658.8/4; Database marketing -- Statistical methods; BUSINESS & ECONOMICS -- International -- Marketing; BUSINESS & ECONOMICS -- Marketing -- Multilevel; BUSINESS & ECONOMICS -- Exports & Imports; Electronic books
• Languages: English
• ISBNs: 0203496906; 9780203496909; 9781574443448; 1574443445
• Related ISBNs: 1574443445
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.