Crime Prediction Using Machine Learning

• Main Authors: Ling H.G., Jian T.W., Mohanan V., Yeo S.F., Jothi N.
• Other Authors: 59208465400
• Format: Conference paper
• Published: Springer Science and Business Media Deutschland GmbH 2025
• Subjects: Forecasting; Machine learning; Crime prediction; Criminal activities; Ensemble methods; Law-enforcement agencies; Machine-learning; Property; Public awareness; Public safety; Resources allocation; Time series forecasting; Crime

The widespread occurrence of criminal activities poses a substantial threat to public safety and property. Hence, the proactive prediction of crimes is vital as it empowers law enforcement agencies to make decisions on resource allocation and targeted interventions based on the data, ultimately lead...