Crime Analysis and Prediction Using Big Data

Authors(2) :-Pournima B. Minajagi, Prof. Ranjana Nadagoudar

Big data involves large-scale storage and processing of large data sets. Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and trends in crime. It can predict regions which have high probability for crime occurrence and can visualize crime prone areas. The use of frequent pattern mining with association rule mining to analyze the various crimes done by a criminal and predict the chance of each crime that can again be performed by that criminal. This analysis may help the law enforcement of the country to take a more accurate decision or may help in safeguarding an area if a criminal released on bail is very much likely to perform crime. Apriori algorithm with association rule mining technique to achieve the result.

Authors and Affiliations

Pournima B. Minajagi
Department of Computer Science and Engineering, Visvesvaraya Technological University, Belgaum, Karnataka, India
Prof. Ranjana Nadagoudar
Department of Computer Science and Engineering, Visvesvaraya Technological University, Belgaum, Karnataka, India

Apriori algorithm, association rule mining, crime analysis, prediction

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 477-482
Manuscript Number : CSEIT1724123
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Pournima B. Minajagi, Prof. Ranjana Nadagoudar, "Crime Analysis and Prediction Using Big Data", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.477-482, July-August-2017.
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