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 |
en_US |
dc.subject |
web crawling |
|
dc.subject |
document classification |
|
dc.subject |
entity extraction |
|
dc.subject |
near duplicate detection |
|
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 |