PI
Magazine Bookstore is
proud to offer Investigative Data Mining
for Security and Criminal Detection Government data analysts, law
enforcement, investigators, counter-intelligence agents,
IT security professionals, fraud specialists in government
and private industry.
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
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
Softcover
272 pages
7"x 9.25"
retail $60.95
Our Price $48.75
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