Crime Examination and Forecasting Using Machine Learning

EasyChair Preprint 10313

Abstract

Crimes are a social irritation and cost our society deeply in several ways. Any research that can help in solving crimes quickly will pay for itself. About 10% of the criminals commit about 50% of the crimes. The system is trained by feeding previous year record of crimes taken from legitimate online portal of India listing various crimes such as murder, kidnapping and abduction, dacoits, robbery, burglary, rape and other such crimes. As per data of Indian statistics, which gives data of various crime of past 10 years (2001-2010) a regression model is created and the crime rate for the following years in various states can be predicted. We have used supervised machine learning technique on the crime records for knowledge discovery and to help in increasing the predictive accuracy of the crime. This work will be helpful to the local police stations in crime suppression.

Keyphrases: Regression, SVM (Support Vector Machine), crime prediction, machine learning

@booklet{EasyChair:10313,
  author    = {Gayatri Mali and Mahima Kakad and Anchal Shukla and Rohit Patil and Dipamala Chaudhari},
  title     = {Crime Examination and Forecasting Using Machine Learning},
  howpublished = {EasyChair Preprint 10313},
  year      = {EasyChair, 2023}}