440 pages | 208 B/W Illus.
In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isn’t worth much unless we can determine that these systems are being effectively and responsibly employed.
Written by one of the most respected consultants in the area of data mining and security, Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies reviews the tangible results produced by these systems and evaluates their effectiveness. While CSI-type shows may depict information sharing and analysis that are accomplished with the push of a button, this sort of proficiency is more fiction than reality. Going beyond a discussion of the various technologies, the author outlines the issues of information sharing and the effective interpretation of results, which are critical to any integrated homeland security effort.
Organized into three main sections, the book fully examines and outlines the future of this field with an insider’s perspective and a visionary’s insight.
Currently, there is very little published literature that truly defines real-world systems. Although politics and other factors all play into how much one agency is willing to support the sharing of its resources, many now embrace the wisdom of that path. This book will provide those individuals with an understanding of what approaches are currently available and how they can be most effectively employed.
"…this book should be mandatory reading for every Crime Analyst. I’ve seen a lot of this info before but never in one place before nor with the level of explanation and examples."
—Michael P. Ley, Antiterrorism Officer (ATO) & Intelligence Coordinator, U.S. Marine Corps Support Facility-Blount Island, Jacksonville, FL, USA
Connect the Dots
Analytical Versus Referential Data
The Quality of Data
Missing Data and Bad Structures
Distinct Phone Numbers
Individual ID Numbers
What Are Patterns?
Which Pattern Is More Important?
Do These Patterns Make Sense?
Is This a Reliable Pattern?
Is This an Actionable Pattern?
Which Pattern Is More Valuable?
What Does this Pattern Show?
Who Is the Most Important Person?
I-94 Arrival/Departure Records
Land Border Targeting
Cluster by Hour of the Day (HOD)
Cluster by Day of the Week (DOW)
Cluster by Date
Cluster by Port of Entry (POE)
Clusters by Lane
Cluster by Inspector
Cluster by City/State
Cluster by VIN
Putting It Together
Money Laundering and Financial Crimes
Suspicious Activity Reports
A Consumer Bust-Out Scheme
Busting and Kiting
Attorneys and Law Firms
Location, Location, Location
Individual Taxpayer Identification Number
SAR Versus STR
Timing Is Everything
False Temporal Patterns
A Final Note
Money Service Businesses
What Is a Money Service Business?
Why Wire Remitters?
Steps of a Wire Remittance
Structure of a Wire Transfer
Combating Human Smuggling
The Smuggling Process
Changing the Rules
Suspicious Activity Reports
Elder Abuse Pattern
Ornery Old Man
Other MSB Patterns
Warranty Fraud Anecdotes
Employees as Vendors
Vendors as Vendors
Gift Card Fraud
Medicare Claim Fraud
Global Justice XML Data Model (Global JXDM)
Component Reuse Repository
National Information Exchange Model
28 CFR Part 23
Automated Regional Justice Information System (ARJIS)
Citizen and Law Enforcement Analysis and Reporting (CLEAR)
Comprehensive Regional Information Management Exchange System
Factual Analysis Criminal Threat Solution (FACTS) System
Florida Information Network for Data Exchange and Retrieval (FINDER)
Ohio Local Law Enforcement Information Sharing Network (OLLEISN)
Law Enforcement Information Exchange (LInX)
OneDOJ, R-DEx, N-DEx
Law Enforcement Online (LEO)
Joint Regional Information Exchange System (JRIES)
Joint Terrorism Task Force (JTTF)
State-Level Fusion Centers
High Intensity Drug Trafficking Area (HIDTA)
High Intensity Financial Crime Area (HIFCA)
Regional Information Sharing System (RISSs)