Review of Crime Prediction Through Machine Learning
Keywords:
Machine Learning, crime predictionAbstract
Older methods like documentation, investigative judges, and statistical research are ineffective for pinpointing exactly when and where the crime occurred. However, increased crime analysis and prediction accuracy significantly when machine learning techniques were included. The advancement of artificial intelligence (A.I.) and machine learning (ML) has resulted in new techniques for analyzing crime statistics. ML algorithms may quickly evaluate enormous amounts of data and determine emerging trends and patterns, which can assist law enforcement agencies in gaining a deeper understanding of criminal activity and developing strategies for its prevention. The prevention of crime can avert loss of life and property damage. Applying machine learning to crime prediction has been the subject of numerous in-depth academic studies. The most recent crime prediction methods that have been made public are reviewed in this study. The study aims to provide insight into how machine learning may improve crime prediction.
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