Crime Detection Using Machine Learning Method

Authors

  • M. Raja Suguna, A. Kalaivani

Abstract

Crime is the action that constitutes the serious offence against a person or a state and punishable by law. Crime Pattern Analysis assist the police personnel and detective to predict the next relative occurrence of the crime. This is done by analyzing the massive recorded crime data over a geographical region for a particular period of time. K-Means Clustering Algorithm and Geocoding is used to extract Spatial features for different genre of crime recorded over a particular Geographical region. The Spatial feature extracted is used for training the Supervised Learning Algorithm such as Support Vector Machine and Logistic Regression to predict the future crime region and time.

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Published

2020-05-12

Issue

Section

Articles