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Books > Computing & IT > Applications of computing > Databases > Data mining
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Using Open Data to Detect Organized Crime Threats - Factors Driving Future Crime (Hardcover, 1st ed. 2017)
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Using Open Data to Detect Organized Crime Threats - Factors Driving Future Crime (Hardcover, 1st ed. 2017)
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This work provides an innovative look at the use of open data for
extracting information to detect and prevent crime, and also
explores the link between terrorism and organized crime. In
counter-terrorism and other forms of crime prevention, foresight
about potential threats is vitally important and this information
is increasingly available via electronic data sources such as
social media communications. However, the amount and quality of
these sources is varied, and researchers and law enforcement need
guidance about when and how to extract useful information from
them. The emergence of these crime threats, such as communication
between organized crime networks and radicalization towards
terrorism, is driven by a combination of political, economic,
social, technological, legal and environmental factors. The
contributions to this volume represent a major step by researchers
to systematically collect, filter, interpret, and use the
information available. For the purposes of this book, the only data
sources used are publicly available sources which can be accessed
legally and ethically. This work will be of interest to researchers
in criminology and criminal justice, particularly in police
science, organized crime, counter-terrorism and crime science. It
will also be of interest to those in related fields such as
applications of computer science and data mining, public policy,
and business intelligence.
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