Investigative data mining for security and criminal detection /

Data mining has traditionally been used to predict consumer behaviour, but in the wake of 9/11, the same tools and techniques can also be used to detect and validate the identity of threatening and criminal entities for security purposes.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mena, Jesus
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston, MA : Butterworth-Heinemann, ©2003.
Temas:
Data mining.
Computer security.
Crime prevention.
Data Mining
Computer Security
Crime > prevention & control
Exploration de données (Informatique)
Sécurité informatique.
Criminalité > Prévention.
crime prevention.
COMPUTERS > Internet > Security.
COMPUTERS > Networking > Security.
COMPUTERS > Security > General.
Intelligence artificielle.
Rassemblement des données.
Restitution des données.
Prévention du crime.
Systèmes experts.
Computer security
Crime prevention
Data mining
Innere Sicherheit
Etats-Unis d'Amérique.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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