SL-SecureNet: Intelligent Policing Using Data Mining Techniques
M.A.P. Chamikara1, Y.P.R. D. Yapa2, S.R.Kodituwakku3, J. Gunathilake4
1M.A.P. Chamikara, Post Graduate Institute of Science (PGIS), Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka.
2Y.P.R.D. Yapa, Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka.
3S.R. Kodituwakku, Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka.
4J. Gunathilake, Department of Geology, Faculty of Science, University of Peradeniya, Peradeniya, Sri Lanka.
Manuscript received on February 15, 2012. | Revised Manuscript received on February 20, 2012. | Manuscript published on March 05, 2012. | PP: 175-180 | Volume-2 Issue-1, March 2012. | Retrieval Number: A0410022112/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Many police departments all around the world lack of good and efficient crime recording and analysis systems. The vast geographical diversity and the complexity of crime patterns have made the analyzing and recording of crime data even difficult. According to the Sri Lankan police department, they face these problems for many years. This paper presents an intelligent crime analysis and recording system designed to overcome problems that appear mainly in the Sri Lankan police department. The proposed system is a GIS based system which comprises of data mining techniques such as Hotspot detection, Crime clock, Crime comparison, Crime pattern visualization, Outbreaks detection and the Nearest police station detection. Salient features of the proposed system include a rich environment for crime data analysis and a simplified environment for location based data analysis. It facilitates the identification of various types of crimes in detail and assists the police personals to control and prevent such incident efficiently. The SL-SecureNet was tested for about 1000 crime records. The test results indicated that it functions in an efficient and reliable manner.
Keywords: Crime Analysis, Crime Investigation, Data Mining, Intelligent Policing