Using Open Data to Detect Organized Crime Threats: Factors Driving Future Crime
Using Open Data to Detect Organized Crime Threats: Factors Driving Future Crime
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This work provides an innovative look at the use of open data for detecting and preventing crime, and the link between terrorism and organized crime. It uses publicly available sources to systematically collect, filter, interpret, and use information, and is of interest to researchers in criminology, criminal justice, and related fields.
\n Format: Paperback / softback
\n Length: 282 pages
\n Publication date: 19 July 2018
\n Publisher: Springer International Publishing AG
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This groundbreaking research offers a novel perspective on the utilization of open data to identify and prevent criminal activities, while also delving into the intricate relationship between terrorism and organized crime. In the realm of counter-terrorism and crime prevention, gaining foresight into potential threats is of paramount importance, and electronic data sources, particularly social media communications, have become increasingly accessible. However, the quantity and quality of these sources vary greatly, necessitating guidance for researchers and law enforcement in effectively extracting valuable information. The emergence of these crime threats, such as the communication between organized crime networks and the radicalization towards terrorism, is influenced by a complex interplay of political, economic, social, technological, legal, and environmental factors.
To address this challenge, the contributions compiled in this volume represent a significant milestone in systematically collecting, filtering, interpreting, and leveraging the available information. The sole data sources utilized for this book are publicly accessible and legally and ethically sound.
This research is of immense interest to scholars and professionals in criminology, criminal justice, particularly in police science, organized crime, counter-terrorism, and crime science. It also holds relevance to individuals engaged in related fields such as computer science and data mining, public policy, and business intelligence. By exploring the intersection of open data, terrorism, and organized crime, this work contributes to our understanding of these complex phenomena and provides valuable insights for developing effective strategies to combat them.
\n Weight: 77g\n
Dimension: 229 x 152 x 3 (mm)\n
ISBN-13: 9783319849669\n
Edition number: Softcover reprint of the original 1st ed. 2017\n
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