Criminal-Activity-Hotspots

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.

Authors of the Paper

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)

Status of the Paper

Accepted at CSITSS 2019
Won "Best Paper Award" at CSITSS 2019
Publisher : IEEE
DOI : 10.1109/CSITSS47250.2019.9031057

Repository Structure

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

Presentation Slides

CSITSS 2019 Conference Presentation by Ramshankar Yadhunath

Contact