| 书目名称 | Using Open Data to Detect Organized Crime Threats | | 副标题 | Factors Driving Futu | | 编辑 | Henrik Legind Larsen,José María Blanco,Ronald R. Y | | 视频video | | | 概述 | Explores the use of open data sources as indicators of future crime.Presents information on measuring organized crime.Provides insights about open data sources for crime detection applications.Include | | 图书封面 |  | | 描述 | .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 | | 出版日期 | Book 2017 | | 关键词 | Crime Detection and Prevention; Open Data; Open Source Data; Data and Text Mining; Counter-terrorism Res | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-52703-1 | | isbn_softcover | 978-3-319-84966-9 | | isbn_ebook | 978-3-319-52703-1 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 17:02:24
