📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 10, OCTOBER 2017

Prediction of Crime Safety Level of Particular Location

Prof. Archana Kadam, Ms. Diksha Mhaske

DOI: 10.17148/IJARCCE.2017.61047

Abstract: In today�s world most of the crime data is available in enormous volume, but proper filtering is required to get the knowledge from the data. In our system we are giving analysis of crime level for particular location of person�s interest. The existing solutions to crime are not sufficient to give the proper recommendation on the basis of the crime prediction. There is not a system available to give the proper judgment of the crime on the prediction basis. In this system we are using prediction technique to get the correct prediction of crime. Final report of crime will help person to understand what kind of crime is happening in particular region. This will help them to take the decisions of travelling, migrating for education, job etc. Our system will also recommend security of particular location i.e. hotspot areas and hence help the people to take right decisions.



Keywords: Crime Prediction, Hotspot, Crime analysis, Recommendation.

How to Cite:

[1] Prof. Archana Kadam, Ms. Diksha Mhaske, “Prediction of Crime Safety Level of Particular Location,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.61047