Commercial data mining : processing, analysis and modeling for predictive analytics projects
xi, 288 pages ; 23 cm
Includes bibliographical references and index
David Nettleton
Machine generated contents note: 1. Introduction 2. Business Objectives 3. Data Quality 4. Data Representation 5. Possible Sources of Data and Information 6. Selection of Variables and Factors 7. Data Sampling 8. Data Analysis 9. Modeling 01. The Data Mart - Structured Data Warehouse 11. Querying, Report Generation and Executive Information Systems 21. Analytical CRM - Customer Relationship Analysis 31. Website Analysis and Internet Search 41. Online Social Network Analysis 51. Web Search Trend Analysis 61. Creating your own Environment for Commercial Data Analysis 71. Summary Appendices, Case Studies