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Westphal, C: Data Mining for Intelligence, Fraud & Criminal

Advanced Analytics & Information Sharing Technologies

Christopher Westphal

Buch (gebundene Ausgabe, Englisch)
Buch (gebundene Ausgabe, Englisch)
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Fr. 89.90
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Beschreibung

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. Section 1 provides a fundamental understanding of the types of data that can be used in current systems. It covers approaches to analyzing data and clearly delineates how to connect the dots among different data elements Section 2 provides real-world examples derived from actual operational systems to show how data is used, manipulated, and interpreted in domains involving human smuggling, money laundering, narcotics trafficking, and corporate fraud Section 3 provides an overview of the many information-sharing systems, organizations, and task forces as well as data interchange formats. It also discusses optimal information-sharing and analytical architectures 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.

Produktdetails

Einband gebundene Ausgabe
Seitenzahl 440
Erscheinungsdatum 31.10.2008
Sprache Englisch
ISBN 978-1-4200-6723-1
Verlag Taylor & Francis Ltd.
Maße (L/B/H) 26.4/18.7/2.4 cm
Gewicht 1012 g
Abbildungen 25 Tables, black and white 208 Illustrations, black and white

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  • Overview Introduction Sharing Data Connect the Dots Analytical Versus Referential Data Information Sharing Conclusion The Quality of Data Introduction 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 What Are Patterns? Introduction 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 Border Protection Introduction 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 Conclusion Money Laundering and Financial Crimes Introduction 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 False Temporal Patterns A Final Note Conclusion Money Service Businesses Introduction 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 Seizing Assets Corridor States Drug Dealers Suspicious Activity Reports Elder Abuse Pattern Ornery Old Man Other MSB Patterns Multiple Locations Minimal Overlaps Official Deposits Heavenly Offerings Dirty Dancing Conclusion Fraud Analytics Introduction 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 Medicare Claim Fraud Conclusion Information-Sharing Protocols Introduction Global Justice XML Data Model (Global JXDM) Data Dictionary Data Model Component Reuse Repository National Information Exchange Model 28 CFR Part 23 Conclusion Information-Sharing Systems Introduction Automated Regional Justice Information System (ARJIS) Citizen and Law Enforcement Analysis and Reporting (CLEAR) 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 Area (HIFCA) Regional Information Sharing System (RISSs) Conclusion Summary