Investigative Data Mining for Security and Criminal Detection

The first book to introduce security managers, law enforcement investigators, counter-intelligence agents, fraud specialists, and information security analysts to the capabilities of "mining" information from public and private databases to flag and root out potential security threats.

Jesus Mena (Author)

9780750676137

Paperback, published 7 April 2003

472 pages, Approx. 100 illustrations
23.5 x 17.8 x 3 cm, 0.75 kg

“It shows how myriad distributed data streams can be harnessed to fight crime. Through easy-to-read prose, the reader learns how to use both public and private databases and networks to find threats and minimize risks. Besides explaining how data mining is done, the book introduces the reader to such techniques as intelligent agents (software that performs user-delegated tasks autonomously), link analysis (a process involving the mapping of the associations between suspects and locations), and text mining (a process used to identify a document's content based on linguistic analysis) and how they can aid law enforcement.
For example, law enforcement in the United Kingdom use text mining to "institutionalize the knowledge of criminal perpetrators and organized gangs and groups," author Jesús Mena writes. Case studies buttress these points. This work is one of the first books to show security professionals the power of data mining as an investigative tool. As such, it is itself a powerful tool for the industry.?
— Security Management

“an eye-opening and powerful book on the newest weapons in criminal and terrorist detection and deterrence. Adult readers desiring an overview can scan the introductory sections to the chapters. More detail-minded and technical readers will enjoy the challenging complexity found in follow-up case studies.?
— The Chicago Sun

“The book is cleanly presented and includes screenshots of software used for data mining and analysis. Charts are used to explain how pieces of information link together in a descriptive manner, and are also used as examples of what some data analysis software can produce when used correctly.?
— Security Forums

Approx.472 pages

1) Pre-Crime Data Mining
2) Investigative Data Warehousing
3) Link Analysis: Visualizing Associations
4) Intelligent Agents: Software Detectives
5) Text Mining: Clustering Concepts
6) Neural Networks: Classifying Patterns
7) Machine Learning: Developing Profiles
8) NetFraud: A Case Study
9) Criminal Patterns: Detection Techniques
10) Intrusion Detection: Techniques and Systems
11) An Entity Validation System (EVS): A Conceptual Architecture
12) Mapping Crime: Clustering CaseWork
Appendix A: 1,000 Online Sources for the Forensic Data Miner
Appendix B: Intrusion Detection Systems (IDS) Products, Services, Freeware and Projects
Glossary

Subject Areas: Artificial intelligence [UYQ], Causes & prevention of crime [JKVC]