Classification and Clustering for Knowledge Discovery Book

1	The many faces of a Kohonen map	1
2	Profiling network applications with fuzzy C-means and self-organizing maps	15
3	Monitoring shift and movement in data using dynamic feature maps	29
4	Serendipity in text and audio information spaces : organizing and exploring high-dimensional data with the growing hierarchical self-organizing map	43
5	D-GridMST : clustering large distributed spatial databases	61
6	A probabilistic approach to mining fuzzy frequent patterns	73
7	Identifying interesting patterns in multidatabases	91
8	Comparison between five classifiers for automatic scoring of human sleep recordings	113
9	Prioritized fuzzy information fusion for handling multi-criteria fuzzy decision-making problems	129
10	Using boosting techniques to improve the performance of fuzzy classification systems	147
11	P-expert : implementation and deployment of large scale fuzzy expert advisory system	159
12	Data mining and user profiling for an E-commerce system	175
13	Soft computing models for network intrusion detection systems	191
14	Use of fuzzy feature descriptions to recognize handwritten alphanumeric characters	209
15	Soft computing paradigms for Web access pattern analysis	233
16	Discovery of fuzzy multiple-level Web browsing patterns	251
17	Ontology-based fuzzy decision agent and its application to meeting scheduling support system	267
18	A longitudinal comparison of supervised and unsupervised learning approaches to iso-resource grouping for acute healthcare in Australia	283
19	Data mining of missing persons data	305
20	Centralised strategies for cluster formation in sensor networks	315
21	Adaptive fuzzy zone routing for wireless ad hoc networks	333
22	A new approach to building fuzzy classifications in sociological research with survey data	349