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Crime Analysis using K-Means Clustering

by Jyoti Agarwal, Renuka Nagpal, Rajni Sehgal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 4
Year of Publication: 2013
Authors: Jyoti Agarwal, Renuka Nagpal, Rajni Sehgal
10.5120/14433-2579

Jyoti Agarwal, Renuka Nagpal, Rajni Sehgal . Crime Analysis using K-Means Clustering. International Journal of Computer Applications. 83, 4 ( December 2013), 1-4. DOI=10.5120/14433-2579

@article{ 10.5120/14433-2579,
author = { Jyoti Agarwal, Renuka Nagpal, Rajni Sehgal },
title = { Crime Analysis using K-Means Clustering },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 4 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number4/14433-2579/ },
doi = { 10.5120/14433-2579 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:58:28.112469+05:30
%A Jyoti Agarwal
%A Renuka Nagpal
%A Rajni Sehgal
%T Crime Analysis using K-Means Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 4
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's world security is an aspect which is given higher priority by all political and government worldwide and aiming to reduce crime incidence. As data mining is the appropriate field to apply on high volume crime dataset and knowledge gained from data mining approaches will be useful and support police force. So In this paper crime analysis is done by performing k-means clustering on crime dataset using rapid miner tool.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cluster Crime Analysis and Rapid miner

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