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Cops Friend-Crime Pattern Analysis using Machine Learning to Reduce Crime Rate

Author(s):

Neelam Rajpal , Bharati Vidyapeeth's college of engineering for womens, Pune; Shital B. Jadhav, Bharati Vidyapeeth's college of engineering for womens, Pune; Heena Mulla, Bharati Vidyapeeth's college of engineering for womens, Pune; Nidhi Patel, Bharati Vidyapeeth's college of engineering for womens, Pune; Pooja, Bharati Vidyapeeth's college of engineering for womens, Pune

Keywords:

Naïve Baye, K Means Algorithm, Prediction, Clustering

Abstract

Process of Crime analysis involves analysis for identifying and analyzing patterns and trends in crime. Reporting of crime generates huge amount of data every year. The data is collected from different sources providing the information about the crimes occurring. Using this data, we are analyzing and predicting crime and helps in preventing the crime to some extent. The Dataset is loaded in the system which gives information about the crime and it is trained to get the data in the appropriate manner. Clustering technique is used for clustering of data that helps to change in pattern automatically. Using naïve bayes, data is analysed which helps in predicting the crime type and the crime prone areas and it is visualized using bar graph in order to provide better understanding of crime patterns.

Other Details

Paper ID: IJSRDV5I40311
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 272-276

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