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| INVESTIGATIVE DATA MINING FOR SECURITY AND CRIMINAL DETECTION
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To order this title, and for more information, click here
By
Jesus Mena, CEO of ProMiner, Inc., Alameda, CA, USA
Description
Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies
can be used to combat crime in the 21st century. It introduces security managers, law enforcement investigators, counter-intelligence
agents, fraud specialists, and information security analysts to the latest data mining techniques and shows how they can be used as investigative
tools. Readers will learn how to search public and private databases and networks to flag potential security threats and root out criminal
activities even before they occur.
The groundbreaking book reviews the latest data mining technologies including intelligent agents,
link analysis, text mining, decision trees, self-organizing maps, machine learning, and neural networks. Using clear, understandable
language, it explains the application of these technologies in such areas as computer and network security, fraud prevention, law enforcement,
and national defense. International case studies throughout the book further illustrate how these technologies can be used to aid in
crime prevention.
Investigative Data Mining for Security and Criminal Detection will also serve as an indispensable
resource for software developers and vendors as they design new products for the law enforcement and intelligence communities.
Key
Features:
* Covers cutting-edge data mining technologies available to use in evidence gathering and collection
* Includes
numerous case studies, diagrams, and screen captures to illustrate real-world applications of data mining
* Easy-to-read format
illustrates current and future data mining uses in preventative law enforcement, criminal profiling, counter-terrorist initiatives, and
forensic science
Audience
Government data analysts, law enforcement, investigators, counter-intelligence agents, IT security professionals, fraud specialists in government and private industry
Contents
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
| Bibliographic details |
Paperback, 272 pages, publication date: DEC-2002
ISBN-13: 978-0-7506-7613-7
ISBN-10: 0-7506-7613-2
Imprint: BUTTERWORTH HEINEMANN
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| Price and Ordering |
Price:
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EUR 56.95
USD 67.95
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Last update: 22 Sep 2009
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