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

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ISBN: 9781420067231 | 1420067230
Cover: Hardcover
Copyright: 12/22/2008

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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.

Foreword	p. xi
Acknowledgments	p. xvii
The Author	p. xxi
Interpreting Patterns and Analytical Methodologies
Overview	p. 3
Introduction	p. 4
Sharing Data	p. 5
Connect the Dots	p. 8
Analytical Versus Referential Data	p. 18
Information Sharing	p. 25
Conclusion	p. 32
The Quality of Data	p. 33
Introduction	p. 34
Value Errors	p. 35
Missing Data and Bad Structures	p. 39
Unique Adresses	p. 42
Distinct Phone Numbers	p. 44
Individual ID Numbers	p. 45
Anomalous Accounts	p. 46
One-of-a-Kind Transactions	p. 46
Original Organizations	p. 47
Perspicuous People	p. 48
Entity Resolution	p. 50
Anonymous Resolution	p. 62
Conclusion	p. 66
What Are Patterns?	p. 67
Introduction	p. 68
Which Pattern Is More Important?	p. 72
Do These Patterns Make Sense?	p. 78
Is This a Reliable Pattern?	p. 81
Is This an Actionable Pattern?	p. 85
Which Patterns Is More Valuable?	p. 87
What Does this Pattern Show?	p. 90
Who Is the Most Important Person?	p. 97
Conclusion	p. 101
Real-World Examples and Operations
Border Protection	p. 105
Introduction	p. 106
I-94 Arrival/Departure Records	p. 106
Land Border Targeting	p. 113
Cluster by Hour of the Day (HOD)	p. 130
Cluster by Day of the Week (DOW)	p. 133
Cluster by Date	p. 133
Cluster by Port of Entry (POE)	p. 137
Clusters by Lane	p. 137
Cluster by Inspector	p. 139
Cluster by City/State	p. 139
Cluster by VIN	p. 140
Putting It Together	p. 140
Conclusion	p. 141
Money Laundering and Financial Crimes	p. 143
Introduction	p. 144
Suspicious Activity Reports	p. 159
Structuring Transactions	p. 161
Bust-Out Schemes	p. 169
A Consumer Bust-Out Scheme	p. 173
Busting and Kiting	p. 175
Identity Fraud	p. 177
Large Connections	p. 181
Attorneys and Law Firms	p. 188
Cheap Motels	p. 191
Location, Location, Location	p. 194
Individual Taxpayer Identification Number	p. 198
SAR Versus STR	p. 200
Timing Is Everything	p. 205
False Temporal Patterns	p. 213
A Final Note	p. 216
Conclusion	p. 220
Money Service Businesses	p. 223
Introduction	p. 224
What Is a Money Service Business?	p. 224
Why Wire Remitters?	p. 225
Steps of a Wire Remittance	p. 226
Structure of a Wire Transfer	p. 228
Combating Human Smuggling	p. 238
The Smuggling Process	p. 240
Changing the Rules	p. 250
Seizing Assets	p. 252
Corridor States	p. 254
Drug Dealers	p. 258
Suspicious Activity Reports	p. 262
Elder Abuse Pattern	p. 266
Ornery Old Man	p. 269
Other MSB Patterns	p. 272
Multiple Locations	p. 272
Minimal Overlaps	p. 274
Official Deposits	p. 274
Heavenly Offerings	p. 278
Dirty Dancing	p. 280
Conclusion	p. 280
Fraud Analytics	p. 283
Introduction	p. 284
Warranty Fraud Anecdotes	p. 286
Automobile Warranties	p. 287
Hurricane Katrina	p. 292
Corporate Frauds	p. 298
Employees as Vendors	p. 298
Vendors as Vendors	p. 300
Corporate Expenses	p. 304
Duplicate Payments	p. 308
Human Resources	p. 313
Gift Card Fraud	p. 317
Additional Examples	p. 324
Pharmaceutical	p. 325
Phishing/Click Fraud	p. 325
Tax Evasion	p. 329
Medicare Claim Fraud	p. 332
Conclusion	p. 346
Information Sharing and Fusion Centers
Information-Sharing Protocols	p. 349
Introduction	p. 350
Global Justice XML Data Model (Global JXDM)	p. 351
Data Dictionary	p. 352
Data Model	p. 353
Component Reuse Repository	p. 356
National Information Exchange Model	p. 362
28 CFR Part 23	p. 364
Conclusion	p. 370
Information-Sharing Systems	p. 371
Introduction	p. 372
Automated Regional Justice Information System (ARJIS)	p. 376
Citizen and Law Enforcement Analysis and Reporting (CLEAR)	p. 377
Comprehensive Regional Information Management Exchange System (CRIMES)	p. 379
Factual Analysis Criminal Threat Solution (FACTS) System	p. 381
Florida Information Network for Data Exchange and Retrieval (FINDER)	p. 382
Ohio Local Law Enforcement Information Sharing Network (OLLEISN)	p. 383
Law Enforcement Information Exchange (LInX)	p. 385
OneDOJ, R-DEx, N-DEx	p. 386
Law Enforcement Online (LEO)	p. 388
Joint Regional Information Exchange System (JRIES)	p. 389
Joint Terrorism Task Force (IJTTF)	p. 389
StateLevel Fusion Centers	p. 392
High Intensity Drug Trafficking Area (HIDTA)	p. 395
High Intensity Financial Crime Area (HIFCA)	p. 397
Regional Information Sharing System (RISS)	p. 404
Conclusion	p. 405
Summary	p. 407
Index	p. 411
Table of Contents provided by Ingram. All Rights Reserved.

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

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