Crime Rate Analysis Classification using Machine Learning

Authors

  • G Geetha Devi  Assistant Professor, Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India
  • T. Akhila Datta  Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India
  • Nidigonda Hari Priya  Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India

Keywords:

Clustering Techniques, Criminal Intent, Data Mining

Abstract

Crime is obvious that the rate of crimes were increasing day by day in all societies in world, but we personally do believe that there are a lot which can be done by both the governments and the individuals to reduce the crimes in communities. Crime analysis is a well-organized way of detecting and examining patterns and trends in crime. We should give utmost importance to study the reasons behind the crimes, so that we can prevent various crimes occurring and we can be able to find suitable solutions to prevent them. When people cannot find work, they have all the free time in the world. They think of crimes as a shortcut to obtaining and processing the riches of life, without any hardwork. To my mind, the overwhelming majority of people tend to participate in activities assisting the government to keep the society a safe place for their own families and the others and for all age groups. Our main aim of this project is to distinguish various crimes using clustering techniques based on the occurrences and regularity. In this project, the crime data is classified using the Support Vector Machine, Decision Tree, Random Forest Algorithm. This proposed system can indicate the areas which has more probability of occurring crimes so that we can easily identify the crimes based on the previous history and we can take measures to prevent the occurrences of crimes.

References

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International Journal of Scientific Research in Science and Technology

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Published

2022-10-30

Issue

Volume 9, Issue 5, September-October-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
G Geetha Devi, T. Akhila Datta, Nidigonda Hari Priya "Crime Rate Analysis Classification using Machine Learning" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 5, pp.621-625, September-October-2022.