Crime Analytics: Analysis of Crimes Through Newspaper Articles

dc.contributor.authorJayaweera, I
dc.contributor.authorSajeewa, C
dc.contributor.authorLiyanage, S
dc.contributor.authorWijewardane, T
dc.contributor.authorPerera, I
dc.contributor.authorWijayasiri, A
dc.date.accessioned2015-08-03T10:12:03Z
dc.date.available2015-08-03T10:12:03Z
dc.date.issued2015-08-03
dc.description.abstractCrime analysis is one of the most important activities of the majority of the intelligent and law enforcement organizations all over the world. Generally they collect domestic and foreign crime related data (intelligence) to prevent future attacks and utilize a limited number of law enforcement resources in an optimum manner. A major challenge faced by most of the law enforcement and intelligence organizations is efficiently and accurately analyzing the growing volumes of crime related data. The vast geographical diversity and the complexity of crime patterns have made the analyzing and recording of crime data more difficult. Data mining is a powerful tool that can be used effectively for analyzing large databases and deriving important analytical results. This paper presents an intelligent crime analysis system which is designed to overcome the above mentioned problems. The proposed system is a web-based system which comprises of crime analysis techniques such as hotspot detection, crime comparison and crime pattern visualization. The proposed system consists of a rich and simplified environment that can be used effectively for processes of crime analysis.en_US
dc.description.sponsorshipIEEE IEEE Sri Lanka Section Robotics and Automation Section Chapter, IEEE Sri Lanka Sectionen_US
dc.identifier.conferenceMERCon 2015 Moratuwa Engineering Research Conferenceen_US
dc.identifier.departmentDepartment of Computer Science and Engineering, Faculty of Engineering University of Moratuwa Sri Lankaen_US
dc.identifier.departmentDepartment of Computer and Information Science and Engineering University of Florida Gainesville, FL 32611, United Statesen_US
dc.identifier.emailjayaweera.10@cse.mrt.ac.lken_US
dc.identifier.emailchamaths.10@cse.mrt.ac.lken_US
dc.identifier.emailsampath.10@cse.mrt.ac.lken_US
dc.identifier.emailtharinduwije.10@cse.mrt.ac.lken_US
dc.identifier.emailndika@cse.mrt.ac.lken_US
dc.identifier.emailadeeshaw@ufl.eduen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnosp 69en_US
dc.identifier.placeUniversity of Moratuwa, Sri Lankaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/11108
dc.identifier.year2015en_US
dc.language.isoenen_US
dc.subjectcrime analysisen_US
dc.subjectweb crawling
dc.subjectdocument classification
dc.subjectentity extraction
dc.subjectnear duplicate detection
dc.titleCrime Analytics: Analysis of Crimes Through Newspaper Articlesen_US
dc.typeConference-Full-texten_US

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