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Article:An Enhanced Algorithm to Predict a Future Crime using Data Mining

by Malathi. A, Dr. S. Santhosh Baboo
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 21 - Number 1
Year of Publication: 2011
Authors: Malathi. A, Dr. S. Santhosh Baboo
10.5120/2478-3335

Malathi. A, Dr. S. Santhosh Baboo . Article:An Enhanced Algorithm to Predict a Future Crime using Data Mining. International Journal of Computer Applications. 21, 1 ( May 2011), 1-6. DOI=10.5120/2478-3335

@article{ 10.5120/2478-3335,
author = { Malathi. A, Dr. S. Santhosh Baboo },
title = { Article:An Enhanced Algorithm to Predict a Future Crime using Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 21 },
number = { 1 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume21/number1/2478-3335/ },
doi = { 10.5120/2478-3335 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:22.142785+05:30
%A Malathi. A
%A Dr. S. Santhosh Baboo
%T Article:An Enhanced Algorithm to Predict a Future Crime using Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 21
%N 1
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Concern about national security has increased after the 26/11 Mumbai attack.. In this paper we look at the use of missing value and clustering algorithm for a data mining approach to help predict the crimes patterns and fast up the process of solving crime. We will concentrate on MV algorithm and Apriori algorithm with some enhancements to aid in the process of filling the missing value and identification of crime patterns. We applied these techniques to real crime data. We also use semi-supervised learning technique in this paper for knowledge discovery from the crime records and to help increase the predictive accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Crime-patterns clustering MANET data mining law-enforcement Apriori

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