Prediction Analysis of Crime in India Using a Hybrid Clustering Approach
Jonnalagadda Surya Kiran, K Kaishveen. · 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on · 2018
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.