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dc.contributor.author Jayaweera, I
dc.contributor.author Sajeewa, C
dc.contributor.author Liyanage, S
dc.contributor.author Wijewardane, T
dc.contributor.author Perera, I
dc.contributor.author Wijayasiri, A
dc.date.accessioned 2015-08-03T10:12:03Z
dc.date.available 2015-08-03T10:12:03Z
dc.date.issued 2015-08-03
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/11108
dc.description.abstract Crime 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.sponsorship IEEE IEEE Sri Lanka Section Robotics and Automation Section Chapter, IEEE Sri Lanka Section en_US
dc.language.iso en en_US
dc.subject crime analysis, web crawling, document classification, entity extraction, near duplicate detection en_US
dc.title Crime Analytics: Analysis of Crimes Through Newspaper Articles en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Computer Science and Engineering, Faculty of Engineering University of Moratuwa Sri Lanka en_US
dc.identifier.department Department of Computer and Information Science and Engineering University of Florida Gainesville, FL 32611, United States en_US
dc.identifier.year 2015 en_US
dc.identifier.conference MERCon 2015 Moratuwa Engineering Research Conference en_US
dc.identifier.place University of Moratuwa, Sri Lanka en_US
dc.identifier.pgnos p 69 en_US
dc.identifier.email jayaweera.10@cse.mrt.ac.lk en_US
dc.identifier.email chamaths.10@cse.mrt.ac.lk en_US
dc.identifier.email sampath.10@cse.mrt.ac.lk en_US
dc.identifier.email tharinduwije.10@cse.mrt.ac.lk en_US
dc.identifier.email ndika@cse.mrt.ac.lk en_US
dc.identifier.email adeeshaw@ufl.edu en_US


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