Assist Crime Prevention Using Machine Learning

5 Pages Posted: 21 Mar 2019

See all articles by Swati Nair

Swati Nair

University of Mumbai - Pillai College of Engineering

Saloni Soniminde

University of Mumbai - Pillai College of Engineering

Sruthi Sureshbabu

University of Mumbai - Pillai College of Engineering

Apurva Tamhankar

University of Mumbai - Pillai College of Engineering

Sagar Kulkarni

University of Mumbai - Pillai College of Engineering

Date Written: March 9, 2019

Abstract

Crime rate is increasing significantly over the years. Crime prevention is the attempt to reduce and deter the crimes and the criminals. The government must go beyond law enforcement and criminal justice to tackle the risk factors that cause crime because it is more cost effective and leads to greater social benefits. The data driven method is used which is based on the broken windows theory, having an enormous impact on the working of the police department. The theory links disorder and incivility within a community to subsequent occurrences of serious crimes. Predictive policing is used by the law enforcement stakeholders for taking proactive measures against crimes. This will help the police departments to efficiently focus their resources on the potential crime hotspots. The model is built to predict the crime rate based on demographic and economic information of particular localities using decision trees, linear classification, regression and spatial analysis.

Keywords: Crime, Broken Windows Theory, Decision Trees, Classification, Regression, Spatial Analysis

Suggested Citation

Nair, Swati and Soniminde, Saloni and Sureshbabu, Sruthi and Tamhankar, Apurva and Kulkarni, Sagar, Assist Crime Prevention Using Machine Learning (March 9, 2019). Proceedings 2019: Conference on Technologies for Future Cities (CTFC), Available at SSRN: https://ssrn.com/abstract=3349683 or http://dx.doi.org/10.2139/ssrn.3349683

Swati Nair (Contact Author)

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Saloni Soniminde

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Sruthi Sureshbabu

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Apurva Tamhankar

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Sagar Kulkarni

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

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