Crime rate Prediction using K mean Java Project
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Abstract:
Crime is an alarming aspect of our society, and its prevention is a vital task. Crime analysis is a well-organised way of detecting and examining patterns and trends in crime. It is of utmost importance to study reasons, consider different factors and determine the relationship among various crimes occurring and discover the best suitable methods to control crime. The primary objective of this project is to distinguish various crimes using clustering techniques based on the occurrences and regularity. Data mining is used for analysis, investigation and check patterns in crimes. In this project, a clustering approach is used to analyse the crime data; the stored data is clustered using the K-Means algorithm. After the classification and clustering, we can predict a crime based on its historical information. This proposed system can indicate regions which have a high probability of crime rate and distinguish areas which have a higher crime rate.