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Reseach Article

Analyzing and Displaying of Crime Hotspots using Fuzzy Mapping Method

by Ranbir Kaur, Sukhjit Singh Sehra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 1
Year of Publication: 2014
Authors: Ranbir Kaur, Sukhjit Singh Sehra
10.5120/18039-8914

Ranbir Kaur, Sukhjit Singh Sehra . Analyzing and Displaying of Crime Hotspots using Fuzzy Mapping Method. International Journal of Computer Applications. 103, 1 ( October 2014), 25-28. DOI=10.5120/18039-8914

@article{ 10.5120/18039-8914,
author = { Ranbir Kaur, Sukhjit Singh Sehra },
title = { Analyzing and Displaying of Crime Hotspots using Fuzzy Mapping Method },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 1 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number1/18039-8914/ },
doi = { 10.5120/18039-8914 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:26.395920+05:30
%A Ranbir Kaur
%A Sukhjit Singh Sehra
%T Analyzing and Displaying of Crime Hotspots using Fuzzy Mapping Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 1
%P 25-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Pattern detection is one of the essential challenges in crime mapping and analysis. Data mining can be used to explore crime detection problems. A cluster technique is an effective method for determining areas with high concentrations of localized events. Conversely, it remains a particularly demanding task to detect hotspots with mapping methods in view of the vulnerability connected with the suitable number of groups to create and additionally securing significance of individual clusters identified. Fuzzy clustering means algorithm was used for identifying hotspots of Chicago police department's citizen law enforcement analysis and reporting system data. In fuzzy clustering, a membership value to each data is assigned, which indicate the strength of relationship between that data points and a specific cluster. In this study each cluster represented the group of global positioning system data points having latitude and longitude as their co-ordinates. The findings from this study were expected to aware the public about crime hotspots. Law enforcement agencies can take prior steps to prevent crime with the use of detected crime hotspots.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Hotspots crime hotspots fuzzy clustering mean cluster analysis pattern recognition and point pattern analysis.