Table of Contents


investigative data mining for security and criminal detection
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



Investigative Data Mining for Security and Criminal Detection
Investigative Data Mining for Security and Criminal Detection
ISBN: 0750676132
EAN: 2147483647
Year: 2005
Pages: 232
Authors: Jesus Mena
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