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Investigative Data Mining for Security and Criminal Detection

Investigative Data Mining for Security and Criminal Detection

by Jesus Mena
Paperback
Publication Date: 16/12/2002
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1) Pre-Crime Data Mining
2) Investigative Data Warehousing
3) Link Analysis: Visualizing Associations
4) Intelligent Agents: Software Detectives
5) Text Mining: Cl ustering Concepts
6) Neural Networks: Classifying Patterns< BR id='CRLF'>7) Machine Learning: Developing Profiles
8) Ne tFraud: A Case Study
9) Criminal Patterns: Detection Techni ques
10) Intrusion Detection: Techniques and Systems
11) An Entity Validation System (EVS): A Conceptual Architecture< BR id='CRLF'>12) Mapping Crime: Clustering CaseWork
Appendi x A: 1,000 Online Sources for the Forensic Data Miner
Appen dix B: Intrusion Detection Systems (IDS) Products, Services, Freeware an d Projects
Glossary
ISBN:
9780750676137
9780750676137
Category:
Databases
Format:
Paperback
Publication Date:
16-12-2002
Language:
English
Publisher:
Elsevier Science & Technology
Country of origin:
United Kingdom
Pages:
472
Dimensions (mm):
235x178x24mm
Weight:
0.75kg

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You can find this item in:

Police & security services Data capture & analysis Computer networking & communications Computer security Databases Forensic science Criminal investigation & detection Information technology: general issues Causes & prevention of crime Crime & criminology Neural networks & fuzzy systems Artificial intelligence Data mining Industry & industrial studies
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