Scanning of Open Data for Detection of Emerging Organized Crime Threats—The ePOOLICE Project
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-52703-1_3
Reference35 articles.
1. Andrews, S., Akhgar, B., Yates, S. J., Stedmon, A. W., & Hirsch, L. (2013). Using formal concept analysis to detect and monitor organised crime. In H. L. Larsen et al. (Eds.), Flexible Query Answering Systems (FQAS 2013), LNAI 8132 (pp. 124–133). Berlin, Heidelberg: Springer.
2. Brewster, B., Akhgar, B., Staniforth, A., Waddington, D., Andrews, S., Mitchell, S. J., et al. (2014a). Towards a model for the integration of knowledge management in law enforcement agencies. International Journal of Electronic Security and Digital Forensics, 6(1), 1–17. doi: 10.1504/IJESDF.2014.060169
3. Brewster, B., Andrews, S., Polovina, S., Hirsch, L., & Akhgar, B. (2014c). Environmental scanning and knowledge representation for the detection of organised crime threats. In Proceedings of Graph-Based Representation and Reasoning, 21st International Conference on Conceptual Structures, ICCS 2014, Iaşi, Romania, July 27–30, 2014, LNAI 8577 (pp. 275–280). doi: 10.1007/978-3-319-08389-6_22
4. Brewster, B., Ingle, T., & Rankin, G. (2014b). Crawling open-source data for indicators of human trafficking. In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (pp. 714–719).
5. Brewster, B., Polovina, S., Rankin, G., & Andrews, S. (2014d). Knowledge management and human trafficking: Using conceptual knowledge representation, text analytics and open-source data to combat organized crime. ICCS, 104–117. doi: 10.1007/978-3-319-08389-6_10
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