<<Lecture_Notes_in_Data_Mining>>EDITED BY MICHAELW BERRY, MURRAY BROWNE

2006, 238pages

CONTENTS:
1 Point Estimation Algorithms 1
2 Applications of Bayes Theorem 15

3 Similarity Measures 27
4 Decision Trees 39
5 Genetic Algorithms 53

6 Classification: Distance-based Algorithms 67
7 Decision Tree-based Algorithms 79
8 Covering (Rule-based) Algorithms 87

9 Clustering: An Overview 99
10 Clustering: Hierarchical Algorithms 109

11 Clustering: Partitional Algorithms 121
12 Clustering: Large Databases 133
13 Clustering: Categorical Attributes 143

14 Association Rules: An Overview 153
15 Association Rules: Parallel and Distributed Algorithms 169

16 Association Rules: Advanced Techniques and Measures 183

17 Spatial Mining: Techniques and Algorithms 193