Table of Contents
Preface xi
Acknowledgments xix
About the Authors xxiii
Chapter 1: Introduction 1
The Monty Hall Problem 5
Evolving Analytics 8
Summary 18
Chapter 2: Unplanned Events, Heuristics, and the Randomness in Our World 23
Heuristics Concepts 26
The Butterfly Effect 30
Random Walks 37
Summary 44
Chapter 3: The Heuristic Approach and Why We Use It 45
Heuristics in Computing 47
Heuristic Problem-Solving Methods 51
Genetic Algorithms: A Formal Heuristic Approach 54
Summary 67
Chapter 4: The Analytical Approach 69
Introduction to Analytical Modeling 71
The Competitive-Intelligence Cycle 74
Summary 97
Chapter 5: Knowledge Applications That Solve Business Problems 101
Customer Behavior Segmentation 102
Collection Models 106
Insolvency Prevention 113
Fraud-Propensity Models 120
Summary 127
Chapter 6: The Graph Analysis Approach 129
Introduction to Graph Analysis 130
Summary 143
Chapter 7: Graph Analysis Case Studies 147
Case Study: Identifying Influencers in Telecommunications 149
Case Study: Claim Validity Detection in Motor Insurance 162
Case Study: Fraud Identification in Mobile Operations 178
Summary 188
Chapter 8: Text Analytics 191
Text Analytics in the Competitive-Intelligence Cycle 193
Linguistic Models 198
Text-Mining Models 200
Summary 207
Bibliography 209
Index 217