HEURISTICS AND OPTIMIZATION FOR KNOWLEDGE DISCOVERY
TABLE OF CONTENTS SECTION ONE: INTRODUCTION CHAPTER 1 INTRODUCING DATA MINING AND KNOWLEDGE DISCOVERY SECTION TWO: SEARCH AND OPTIMIZATION CHAPTER 2 A HEURISTIC ALGORITHM FOR FEATURE SELECTION BASED ON OPTIMIZATION TECHNIQUES CHAPTER 3 COST-SENSITIVE CLASSIFICATION USING DECISION TREES, BOOSTING AND METACOST CHAPTER 4 HEURISTIC SEARCH-BASED STACKING OF CLASSIFIERS CHAPTER 5 DESIGNING COMPONENT-BASED HEURISTIC SEARCH ENGINES FOR KNOWLEDGE DISCOVERY CHAPTER 6 CLUSTERING MIXED INCOMPLETE DATA SECTION THREE: STATISTICS AND DATA MINING CHAPTER 7 BAYESIAN LEARNING CHAPTER 8 HOW SIZE MATTERS: THE ROLE OF SAMPLING IN DATA MINING CHAPTER 9 THE GAMMA TEST SECTION FOUR: NEURAL NETWORKS AND DATA MINING CHAPTER 10 NEURAL NETWORKS–THEIR USE AND ABUSE FOR SMALL DATA SETS CHAPTER 11 HOW TO TRAIN MULTILAYER PERCEPTRONS EFFICIENTLY WITH LARGE DATA SETS SECTION FIVE: APPLICATIONS CHAPTER 12 CLUSTER ANALYSIS OF MARKETING DATA EXAMINING ON-LINE SHOPPING ORIENTATION: A COMPARISON OF K-MEANS AND ROUGH CLUSTERING APPROACHES CHAPTER 13 HEURISTICS IN MEDICAL DATA MINING CHAPTER 14 UNDERSTANDING CREDIT CARD USER’S BEHAVIOUR: A DATA MINING APPROACH CHAPTER 15 HEURISTIC KNOWLEDGE DISCOVERY FOR ARCHAEOLOGICAL DATA USING GENETIC ALGORITHMS AND ROUGH SETS