haku: @author Baveja, A. / yhteensä: 3
viite: 2 / 3
| Tekijä: | Redmond, M. Baveja, A. |
| Otsikko: | A data-driven software tool for enabling cooperative information sharing among police departments |
| Lehti: | European Journal of Operational Research
2002 : SEP, VOL. 141:3, p. 660-678 |
| Asiasana: | ARTIFICIAL INTELLIGENCE SOCIETIES ANALYTICAL REVIEW POLICY |
| Kieli: | eng |
| Tiivistelmä: | Police departments utilize information technology for combating crime, however, mostly for tactical purposes. This paper presents an Artificial-Intelligence software, Crime Similarity System (CSS) that helps police departments develop a strategic viewpoint toward decision-making. CSS utilizes socioeconomic, crime and enforcement profiles of cities to generate a list of communities that are best candidates to cooperate and share experiences. By providing a list of relevant similar communities from whom past experience and learnings can be shared, this tool offers the potential for proactive management. CSS provides a user-friendly front-end enabling easy usage. Camden, NJ and Philadelphia, PA police departments were partners in this development effort. |
SCIMA