Customer and business analytics : applied data mining for business decision making using R /: applied data mining for business decision making using R. (2012)

• Record Type: Book
• Further Information: Note: Daniel S. Putler, Robert E. Krider.
• Other Names: Putler, Daniel S; Krider, Robert E
• Contents: I 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-DM II Predictive Modeling Tools; Basic Tools for Understanding Data; Measurement Scales; Software Tools; Reading Data into R Tutorial; Creating Simple Summary Statistics Tutorial; Frequency Distributions and Histograms Tutorial; Contingency Tables Tutorial Multiple Linear Regression; Jargon Clarification; Graphical and Algebraic Representation of the Single Predictor Problem; Multiple Regression; Summary; Data Visualization and Linear Regression Tutorial Logistic Regression; A Graphical Illustration of the Problem; The Generalized Linear Model; Logistic Regression Details; Logistic Regression Tutorial Lift Charts; Constructing Lift Charts; Using Lift Charts; Lift Chart Tutorial Tree Models; The Tree Algorithm; Trees Models Tutorial Neural Network Models; The Biological Inspiration for Artificial Neural Networks; Artificial Neural Networks as Predictive Models; Neural Network Models Tutorial Putting It All Together; Stepwise Variable Selection; The Rapid Model Development Framework; Applying the Rapid Development Framework Tutorial III 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 Tutorial K-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 Tutorial Bibliography Index
• Publisher Details: Place of publication not identified : Chapman and Hall/CRC
• Publication Date: 2012
• Extent: 1 online resource, illustrations
• Subjects: 658.40302855133; Database marketing -- Software; Data mining; Decision making -- Data processing; R (Computer program language); Database management
• Languages: English
• ISBNs: 9781466503984
• Related ISBNs: 146650398X
• 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.