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Crime Pattern Prediction using Machine Learning Algorithms

Author(s):

Janavi A. S , pes college of engineering,mandya; Dr. Veena M.N, pes college of engineering,mandya

Keywords:

Machine Learning, Apriori Algorithm, Eclat Algorithm, FP-Growth Algorithm, National Crime Records Bureau

Abstract

Violations are a social disturbance and cost our general public profoundly in a few different ways. Any exploration that can help in comprehending crimes rapidly will pay for itself. About 10% of the hoodlums carry out about half of the crimes. The framework is prepared by encouraging earlier years record of crimes taken from authentic online entry of India posting different crimes, for example, murder, hijacking and kidnapping, dacoits, theft, thievery, assault and other such crimes. According to information of Indian measurements, which gives information of different crime of recent years a relapse model is made and the crime rate for the next years in different states can be anticipated. We have utilized managed, semi-managed and unsupervised learning method on the crime records for information revelation and to help in expanding the prescient exactness of the crime. This work will be useful to the neighbourhood police headquarters in crime concealment.

Other Details

Paper ID: IJSRDV7I40056
Published in: Volume : 7, Issue : 4
Publication Date: 01/07/2019
Page(s): 404-407

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