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Reseach Article

A Case for Data Mining in Police Administration

by Singh Dilbag, Kumar Omda
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 17
Year of Publication: 2013
Authors: Singh Dilbag, Kumar Omda
10.5120/10556-5469

Singh Dilbag, Kumar Omda . A Case for Data Mining in Police Administration. International Journal of Computer Applications. 63, 17 ( February 2013), 5-9. DOI=10.5120/10556-5469

@article{ 10.5120/10556-5469,
author = { Singh Dilbag, Kumar Omda },
title = { A Case for Data Mining in Police Administration },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 17 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number17/10556-5469/ },
doi = { 10.5120/10556-5469 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:04.860238+05:30
%A Singh Dilbag
%A Kumar Omda
%T A Case for Data Mining in Police Administration
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 17
%P 5-9
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Application of data mining in police administration may help the crime prevention and criminal tracking. The present study was aimed to assess the effectiveness of data mining in crime detection. Data of vehicle theft in Sirsa district has been analyzed to draw the inference and pinpoint the hotspots. Classification and Clustering techniques of data mining have been used through Weka 3. 7. 7 to inference the useful knowledge for the police administration.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Weka KDD Police administration datasets