Table of Contents

Investigative Data Mining for Security and Criminal Detection
by Jesus Mena	ISBN:0750676132
Butterworth Heinemann 2003 (452 pages)
This text introduces security professionals, intelligence and law enforcement analysts, and criminal investigators to the use of data mining as a new kind of investigative tool, and outlines how data mining technologies can be used to combat crime.

Table of Contents
	Investigative Data Mining for Security and Criminal Detection
	Introduction
	Chapter 1	-	Precrime Data Mining
	Chapter 2	-	Investigative Data Warehousing
	Chapter 3	-	Link Analysis: Visualizing Associations
	Chapter 4	-	Intelligent Agents: Software Detectives
	Chapter 5	-	Text Mining: Clustering Concepts
	Chapter 6	-	Neural Networks: Classifying Patterns
	Chapter 7	-	Machine Learning: Developing Profiles
	Chapter 8	-	NetFraud: A Case Study
	Chapter 9	-	Criminal Patterns: Detection Techniques
	Chapter 10	-	Intrusion Detection: Techniques and Systems
	Chapter 11	-	The Entity Validation System (EVS): A Conceptual Architecture
	Chapter 12	-	Mapping Crime: Clustering Case Work
	Appendix A	-	1,000 Online Sources for the Investigative Data Miner
	Appendix B	-	Intrusion Detection Systems (IDS) Products, Services, Freeware, and Projects
	Appendix C	-	Intrusion Detection Glossary
	Appendix D	-	Investigative Data Mining Products and Services
	Index
	List of Figures
	List of Tables