Source Code Repository of Identification of Criminal Activity Hotspots using Machine Learning to aid in Effective Utilization of Police Patrolling in Cities with High Crime Rates presented at CSITSS-2019 in RVCE, Bengaluru, Karnataka, India.
- Ramshankar Yadhunath (Amrita School of Engineering, Bengaluru)
- Srivenkata Srikanth (Amrita School of Engineering, Bengaluru)
- Arvind Sudheer (Amrita School of Engineering, Bengaluru)
- Dr. Suja Palaniswamy (Amrita School of Engineering, Bengaluru)
- Accepted at CSITSS 2019
- Won "Best Paper Award" at CSITSS 2019
- Publisher : IEEE
- DOI : 10.1109/CSITSS47250.2019.9031057
The repository has been structured to help in easy comprehension of our work as it will help anybody who wishes to reproduce our work do so with relative ease.
- data
- notebooks
- src_code_nb.ipynb
- results
- plots
- utils
- util_script.py
- .gitignore
- README
data : Contains all the necessary data files used
notebooks : Jupyter notebooks used
results : Includes only the .png plots generated as of now (will be updated later)
utils : Utility Script folder written for simplifying routine tasks
We would be more than happy to take any questions or suggestions for the same.
Mail : yadramshankar@gmail.com
Twitter ID : @thedatacrack