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Data mining for intelligence, fraud, & criminal detection : advanced analytics & information sharing technologies /

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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 effectiv...

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Bibliographic Details
Main Author: Westphal, Christopher R. (Christopher Ralph), 1965-
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Language Notes:English.
Published: Boca Raton : CRC Press, c2009.
Subjects:
Law enforcement > United States.
Data mining > United States.
Lois > Application > États-Unis.
Exploration de données (Informatique) > États-Unis.
Data mining
Law enforcement
United States
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front cover; Dedication; Contents; Foreword; Acknowledgments; The Author; PART 1: INTERPRETING PATTERNS AND ANALYTICAL METHODOLOGIES; Chapter 1. Overview1; Chapter 2. The Quality of Data; Chapter 3. What Are Patterns?; PART 2: REAL-WORLD EXAMPLES AND OPERATIONS; Chapter 4. Border Protection; Chapter 5. Money Laundering and Financial Crimes; Chapter 6. Money Service Businesses; Chapter 7. Fraud Analytics; PART 3: INFORMATION SHARING AND FUSION CENTERS; Chapter 8. Information-Sharing Protocols; Chapter 9. Information-Sharing Systems; Summary; Index; Back cover