TY  - BOOK
AU  - Westphal,Christopher R.
TI  - Data mining for intelligence, fraud, & criminal detection: advanced analytics & information sharing technologies 
SN  - 9781420067231 (alk. paper)
U1  - 363.256 23
PY  - 2009///
CY  - Boca Raton
PB  - CRC Press
KW  - Data mining in law enforcement
N1  - CONTENTS

Chapter 1 - Overview	
Sharing Data	
Connect the Dots	
Analytical Versus Referential Data	
Information Sharing	
Conclusion	

Chapter 2 - The Quality of Data	
Value Errors	
Missing Data and Bad Structures	
Unique Addresses	
Distinct Phone Numbers	
Individual ID Numbers	
Anomalous Accounts	
One of a Kind Transactions	
Original Organizations	
Perspicuous People	
Entity Resolution	
Anonymous Resolution	
Conclusion	

Chapter 3 - 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?	
Conclusion	

Section 2 Introduction
	
Chapter 4 - Border Protection	
I-94- Arrival/Departure Records	
Land Border Targeting	
Cluster by Hour of the Day (HOD)	
Cluster by Day of the Week (DOW)	
Figure 4.18. Date Grid Showing Crossing Behavior by Day/Week	
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	
Conclusion	

Chapter 5 - Money Laundering and Financial Crimes	
Suspicious Activity Reports	
Structuring Transactions	
Bust Out Schemes	
A Consumer Bust-Out Scheme	
Busting and Kiting	
Identity Fraud	
Large Connections	
Attorneys and Law Firms	
Cheap Motels	
Location, Location, Location	
Individual Taxpayer Identification Number	
SAR Versus STR	
Timing is Everything	
A Final Note	
Conclusion	

Chapter 6 - Money Service Businesses	
Why Wire Remitters?	
Steps of a Wire Remittance	
Structure of a Wire Transfer	
Combating Human Smuggling	
The Smuggling Process	
Changing the Rules	
Seizing Assets	
Corridor States	
Drug Dealers	
Suspicious Activity Reports	
Elderly Abuse Pattern	
Ornery Old Man	
Other MSB Patterns	
Multiple Locations	
Minimal Overlaps	
Official Deposits	
Heavenly Offerings	
Dirty Dancing	
Conclusion	

Chapter 7 - Fraud Analytics	
Warranty Fraud Anecdotes	
Automobile Warranties	
Hurricane Katrina	
Corporate Frauds	
Employees as Vendors	
Vendors as Vendors	
Corporate Expenses	
Duplicate Payments	
Human Resources	
Gift Card Fraud	
Additional Examples	
Pharmaceutical	
Phishing / Click Fraud	
Tax Evasion	
Conclusion	

Section 3 Introduction	

Chapter 8 - Information Sharing Protocols	
Global Justice XML Data Model (Global JXDM)	
Data Dictionary	
Data Model	
Component Reuse Repository	
National Information Exchange Model	
28 CFR Part 	
Conclusion	

Chapter 9 - Information Sharing Systems	
Automated Regional Justice Information System ARJIS	
Comprehensive Regional Information Management Exchange System (CRIMES)	
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 Areas (HIFCA)	
Regional Information Sharing Systems (RISS)	
Conclusion	
Summary	1; Includes bibliographical references and index p. 411-426
UR  - http://www.loc.gov/catdir/toc/ecip0819/2008021209.html
ER  -