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Using Open Data to Detect Organized Crime Threats
other
Editor(s):
Henrik Legind Larsen
,
José María Blanco
,
Raquel Pastor Pastor
,
Ronald R. Yager
Publication date
(Print):
2017
Publisher:
Springer International Publishing
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There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
State Crime Journal
Author and book information
Book
ISBN (Print):
978-3-319-52702-4
ISBN (Electronic):
978-3-319-52703-1
Publication date (Print):
2017
DOI:
10.1007/978-3-319-52703-1
SO-VID:
860fa904-c3f3-4ff8-af12-3b54f5e77499
License:
http://www.springer.com/tdm
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Book chapters
pp. 3
Organised Crime as a Framework Concept
pp. 25
Measuring Organised Crime: Complexities of the Quantitative and Factorial Analysis
pp. 47
Scanning of Open Data for Detection of Emerging Organized Crime Threats—The ePOOLICE Project
pp. 73
Foresight and the Future of Crime: Advancing Environmental Scanning Approaches
pp. 103
Big Data—Fighting Organized Crime Threats While Preserving Privacy
pp. 119
Horizon Scanning for Law Enforcement Agencies: Identifying Factors Driving the Future of Organized Crime
pp. 137
Macro-environmental Factors Driving Organised Crime
pp. 167
Extracting Future Crime Indicators from Social Media
pp. 199
Organised Crime, Wild Cards and Dystopias
pp. 223
Operation Golf: A Human Trafficking Case Study
pp. 241
Radicalization in a Regional Context: Future Perspective on Possible Terrorist Threats and Radicalization
pp. 261
Why Do Links Between Terrorism and Crime Increase?
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