Table of contents for Investigative data mining for security and criminal detection / Jesâus Mena.


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Counter 1) Pre-Crime Data Mining
2) Investigative Data Warehousing
3) Link Analysis: Visualizing Associations
4) Intelligent Agents: Software Detectives
5) Text Mining: Clustering Concepts
6) Neural Networks: Classifying Patterns
7) Machine Learning: Developing Profiles
8) NetFraud: A Case Study
9) Criminal Patterns: Detection Techniques
10) Intrusion Detection: Techniques and Systems
11) An Entity Validation System (EVS): A Conceptual Architecture
12) Mapping Crime: Clustering CaseWork
Appendix A: 1,000 Online Sources for the Forensic Data Miner
Appendix B: Intrusion Detection Systems (IDS) Products, Services, Freeware and Projects
Glossary

Library of Congress subject headings for this publication: Data mining, Computer security, Crime prevention