Why Data Mining is Important: What is Customer-Centric Data Mining?; How Data Mining Can Enhance Your Services and Products; Data Mining Can Solve Your Most Difficult Problems; The Data Mining Process; Pillars of the Data Mining Framework: The Information Technology of Business Intelligence; The Data in Data Mining; The Mathematics of Data Mining; Data Mining Techniques: Knowledge Discovery; Data Mining Techniques: More Knowledge Discovery; Data Mining Techniques: Predictive Models; Data Mining Management: Common Reasons Data Mining Projects Fail; Overcoming Obstacles; Successful Data Mining Project Management; Data Mining in Practice--Case Studies: Data Mining in: Customer Service, Retail, Insurance, Financial Services, Health Care and Medicine, Telecommunications, Transportation and Logistics, Energy, and Government; Glossary; Bibliography; Appendixes: Vendor Information; "STAT 101"; Techniques Listed by Methodology Phase