Crime Prediction System

  • Somula Ramasubbareddy
  • T. Aditya Sai Srinivas
  • K. Govinda
  • S. S. Manivannan
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)


The work implemented here is crime prediction system (CPS). We first created hypothetical datasets samples of major city areas and different crimes taking place and then we used the algorithms to analyze it. We used HTML and CSS along with PHP, while wamp as a Web server to this application. The objective of the proposed work is to analyze and predict the chance of a crime happening using apriori algorithm. In addition, we used decision tree as a searching algorithm and naïve Bayesian classifier to predict about the crime in particular geographical location at a particular point of time. The result of this can be used to raise people’s awareness regarding the dangerous locations and to help agencies to predict future crime in a specific location within a particular time.


Machine learning Apriori algorithm Decision tree Naïve Bayes classifier Prediction 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Somula Ramasubbareddy
    • 1
  • T. Aditya Sai Srinivas
    • 2
  • K. Govinda
    • 2
  • S. S. Manivannan
    • 2
  1. 1.Department of Information TechnologyVNRVJIETHyderabadIndia
  2. 2.SCOPEVIT UniversityVelloreIndia

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