Publications

Data Mining for Intelligence, Fraud & Criminal Detection: Advanced
Analytics & Information Sharing Technologies

Amazon link for Data Mining for Intelligence, Fraud & Criminal Detection

100% of the book�s royalty proceeds go to benefit the National Law Enforcement Officers Memorial Fund (NLEOMF).

• Provides a significant number of examples based on real-world data, systems, and operations
• Identifies the principles of integration using multiple sources of data, and compares virtual and traditional information and data warehousing techniques
• Offers analytical applications and solutions designed to assist in detecting money laundering schemes, human smuggling operations, narcotics trafficking, and exposing fraud patterns
• Presents analytical approaches heavily based on graph theory (e.g., connect-the- dots), which holds the most promise for understanding large quantities of discrete-valued information
• Addresses a number of information sharing issues and explains why no large-scale capabilities are currently deployed throughout the government
• Explores several governmental efforts that have achieved limited success in sharing data