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Using Open Data to Detect Organized Crime Threats

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Cover of 'Using Open Data to Detect Organized Crime Threats'

Table of Contents

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    Book Overview
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    Chapter 1 Organised Crime as a Framework Concept
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    Chapter 2 Measuring Organised Crime: Complexities of the Quantitative and Factorial Analysis
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    Chapter 3 Scanning of Open Data for Detection of Emerging Organized Crime Threats—The ePOOLICE Project
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    Chapter 4 Foresight and the Future of Crime: Advancing Environmental Scanning Approaches
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    Chapter 5 Big Data—Fighting Organized Crime Threats While Preserving Privacy
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    Chapter 6 Horizon Scanning for Law Enforcement Agencies: Identifying Factors Driving the Future of Organized Crime
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    Chapter 7 Macro-environmental Factors Driving Organised Crime
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    Chapter 8 Extracting Future Crime Indicators from Social Media
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    Chapter 9 Organised Crime, Wild Cards and Dystopias
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    Chapter 10 Operation Golf: A Human Trafficking Case Study
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    Chapter 11 Radicalization in a Regional Context: Future Perspective on Possible Terrorist Threats and Radicalization
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    Chapter 12 Why Do Links Between Terrorism and Crime Increase?
Attention for Chapter 2: Measuring Organised Crime: Complexities of the Quantitative and Factorial Analysis
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