Using Open Data to Detect Organized Crime Threats is popular PDF and ePub book, written by Henrik Legind Larsen in 2017-04-07, it is a fantastic choice for those who relish reading online the Social Science genre. Let's immerse ourselves in this engaging Social Science book by exploring the summary and details provided below. Remember, Using Open Data to Detect Organized Crime Threats can be Read Online from any device for your convenience.
Using Open Data to Detect Organized Crime Threats Book PDF Summary
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.
Detail Book of Using Open Data to Detect Organized Crime Threats PDF
- Author : Henrik Legind Larsen
- Release : 07 April 2017
- Publisher : Springer
- ISBN : 9783319527031
- Genre : Social Science
- Total Page : 282 pages
- Language : English
- PDF File Size : 11,8 Mb
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