An Effective Mechanism for Detecting Crime Rate in Chennai Location Using Supervised Machine Learning Approach
DOI:
https://doi.org//10.32628/CSEIT206267Keywords:
Crime Dataset, Data Analysis, Machine Learning, Accuracy, Data predictor, Self evaluation platformAbstract
In the current era of digital world, the crime is the important challenge among the distinct user. People are applying various techniques to prevent and reduce the crime. But there is no specific solution is optimal for crime issues. It is need to be tracking the all sets of crimes which is managed and stored in the crime specific database. The proposed work brings the solution to identify the occurrences of the crime for Chennai region and also tracking the location and type of threats over the criem can be detected in the public user group. This mechanism will be achiened the effective outcomes by applying the supervised meachine learning approach.
References
- Kaggle.com. (2020). Crime Analysis in India. [online] Available at: https://www.kaggle.com/siddharthaduggirala2/crime-analysis-in-india/data [Accessed 20 Feb. 2020H.
- Crime pattern detection, analysis & prediction. An overview on crime prediction methods.
- Crime prediction and forecasting in Tamilnadu using clustering approaches. In Emerging Technological Trends (ICETT),
- http://ieeexplore.ieee.org/document/820367 the reference to detect the crimes
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.