Analysis and Prediction of Crimes by Clustering and Classification in Java

Machine learning techniques and regression techniques are the two approaches have been utilized in order to conduct predictive analytics. In the conducting predictive analytics, machine learning techniques are widely utilized and become popular as large scale datasets handled by it is effective manner and provide high performance. In this research work, the technique of crime prediction is proposed which is based on the naïve bayes classifier. The naïve bayes classifier is compared with the KNN classifier. The proposed techniques are implemented in Anaconda and simulations results shows that naïve bayes has high accuracy, less execution time.