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| Foreword | |
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| Acknowledgments | |
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| The Author | |
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| Interpreting Patterns and Analytical Methodologies | |
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| Overview | |
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| Introduction | |
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| Sharing Data | |
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| Connect the Dots | |
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| Analytical Versus Referential Data | |
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| Information Sharing | |
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| Conclusion | |
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| The Quality of Data | |
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| Introduction | |
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| Value Errors | |
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| Missing Data and Bad Structures | |
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| Unique Adresses | |
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| Distinct Phone Numbers | |
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| Individual ID Numbers | |
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| Anomalous Accounts | |
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| One-of-a-Kind Transactions | |
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| Original Organizations | |
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| Perspicuous People | |
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| Entity Resolution | |
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| Anonymous Resolution | |
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| Conclusion | |
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| What Are Patterns? | |
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| Introduction | |
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| Which Pattern Is More Important? | |
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| Do These Patterns Make Sense? | |
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| Is This a Reliable Pattern? | |
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| Is This an Actionable Pattern? | |
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| Which Patterns Is More Valuable? | |
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| What Does this Pattern Show? | |
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| Who Is the Most Important Person? | |
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| Conclusion | |
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| Real-World Examples and Operations | |
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| Border Protection | |
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| Introduction | |
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| I-94 Arrival/Departure Records | |
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| Land Border Targeting | |
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| Cluster by Hour of the Day (HOD) | |
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| Cluster by Day of the Week (DOW) | |
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| Cluster by Date | |
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| Cluster by Port of Entry (POE) | |
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| Clusters by Lane | |
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| Cluster by Inspector | |
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| Cluster by City/State | |
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| Cluster by VIN | |
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| Putting It Together | |
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| Conclusion | |
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| Money Laundering and Financial Crimes | |
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| Introduction | |
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| Suspicious Activity Reports | |
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| Structuring Transactions | |
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| Bust-Out Schemes | |
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| A Consumer Bust-Out Scheme | |
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| Busting and Kiting | |
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| Identity Fraud | |
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| Large Connections | |
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| Attorneys and Law Firms | |
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| Cheap Motels | |
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| Location, Location, Location | |
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| Individual Taxpayer Identification Number | |
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| SAR Versus STR | |
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| Timing Is Everything | |
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| False Temporal Patterns | |
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| A Final Note | |
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| Conclusion | |
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| Money Service Businesses | |
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| Introduction | |
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| What Is a Money Service Business? | |
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| Why Wire Remitters? | |
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| Steps of a Wire Remittance | |
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| Structure of a Wire Transfer | |
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| Combating Human Smuggling | |
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| The Smuggling Process | |
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| Changing the Rules | |
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| Seizing Assets | |
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| Corridor States | |
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| Drug Dealers | |
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| Suspicious Activity Reports | |
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| Elder Abuse Pattern | |
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| Ornery Old Man | |
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| Other MSB Patterns | |
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| Multiple Locations | |
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| Minimal Overlaps | |
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| Official Deposits | |
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| Heavenly Offerings | |
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| Dirty Dancing | |
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| Conclusion | |
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| Fraud Analytics | |
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| Introduction | |
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| Warranty Fraud Anecdotes | |
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| Automobile Warranties | |
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| Hurricane Katrina | |
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| Corporate Frauds | |
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| Employees as Vendors | |
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| Vendors as Vendors | |
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| Corporate Expenses | |
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| Duplicate Payments | |
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| Human Resources | |
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| Gift Card Fraud | |
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| Additional Examples | |
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| Pharmaceutical | |
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| Phishing/Click Fraud | |
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| Tax Evasion | |
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| Medicare Claim Fraud | |
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| Conclusion | |
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| Information Sharing and Fusion Centers | |
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| Information-Sharing Protocols | |
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| Introduction | |
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| Global Justice XML Data Model (Global JXDM) | |
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| Data Dictionary | |
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| Data Model | |
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| Component Reuse Repository | |
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| National Information Exchange Model | |
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| 28 CFR Part 23 | |
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| Conclusion | |
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| Information-Sharing Systems | |
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| Introduction | |
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| Automated Regional Justice Information System (ARJIS) | |
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| Citizen and Law Enforcement Analysis and Reporting (CLEAR) | |
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| Comprehensive Regional Information Management Exchange System (CRIMES) | |
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| Factual Analysis Criminal Threat Solution (FACTS) System | |
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| Florida Information Network for Data Exchange and Retrieval (FINDER) | |
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| Ohio Local Law Enforcement Information Sharing Network (OLLEISN) | |
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| Law Enforcement Information Exchange (LInX) | |
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| OneDOJ, R-DEx, N-DEx | |
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| Law Enforcement Online (LEO) | |
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| Joint Regional Information Exchange System (JRIES) | |
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| Joint Terrorism Task Force (IJTTF) | |
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| StateLevel Fusion Centers | |
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| High Intensity Drug Trafficking Area (HIDTA) | |
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| High Intensity Financial Crime Area (HIFCA) | |
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| Regional Information Sharing System (RISS) | |
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| Conclusion | |
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| Summary | |
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| Index | |