Predictive Modeling using Data Mining Techniques for Crime Analysis

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This system utilizes machine learning and data mining to enhance crime prediction accuracy, supporting proactive policing efforts.

The predictive modeling approach effectively forecasts crime incidents, enhancing community safety measures.
Key algorithms like Naive Bayes and Decision Trees improve classification results and identify crime hotspots effectively.
Utilization of ensemble methods such as Random Forests boosts the prediction accuracy in crime analysis.
The integration of visualization tools helps law enforcement interpret crime data and make informed decisions.

Bhavana Jakkula (2025) studied this question.

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