Investigative data mining for security and criminal detection /

Main Author: Mena, Jesus.
Format: Book
Language:English
Published: Amsterdam ; Boston, MA : Butterworth-Heinemann, ©2003.
Subjects:
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=204203
Table of Contents:
  • Pre-Crime Data Mining
  • Investigative Data Warehousing
  • Link Analysis: Visualizing Associations
  • Intelligent Agents: Software Detectives
  • Text Mining: Clustering Concepts
  • Neural Networks: Classifying Patterns
  • Machine Learning: Developing Profiles
  • NetFraud: A Case Study
  • Criminal Patterns: Detection Techniques
  • Intrusion Detection: Techniques and Systems
  • An Entity Validation System (EVS): A Conceptual Architecture
  • Mapping Crime: Clustering CaseWork
  • Appendix A: 1,000 Online Sources for the Forensic Data Miner 00 Appendix B: Intrusion Detection Systems (IDS) Products, Services, Freeware and Projects.