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Paper Title : CRIME TYPE AND OCCURRENCE PREDICTION USING MACHINE LEARNING

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7221190

Authors: Mrs. B. Haritha Lakshmi, S.Sathhvika, S.Shresta, P.L.MShreya

         


Abstract
Crime has recently emerged as a clear method of putting people and society in peril. A country's population becomes unbalanced as a result of rising crime. Understanding crime trends is essential for analysing and anticipating this kind of criminal activity. This study applies one such analysis of crime patterns by leveraging open-source Kaggle crime data, which is then utilised to forecast the most recent incidents. Estimating which form of crime contributes the most, coupled with the time frame and location where it occurred, is the project's main goal. This work implies a few machine learning methods, namely Naive Bayes

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Keywords
— CRIME TYPE AND OCCURRENCE PREDICTION USING MACHINE LEARNING.