Crime and Criminal Analysis System integrating geospatial, temporal, and demographic analytics for predictive modeling of criminal activities. It employs machine learning for optimizing police resource allocation and incorporates real-time social media scraping for proactive crime detection.

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A BFO and CCO conformant ontology of criminal acts

This project explores the applicability of various machine learning models to predict whether a crime was solved, based on a comprehensive dataset from the USA for the period 1980-2014.

This tool is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. It implements an analyzer and visualizer specialized for criminal (social) network analysis, including community detection, social influence analysis, and link prediction.

This repository is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. This repository implements inductive link prediction in criminal network analysis, focusing on finding links between new cases and existing nodes.

The goal of this project is to reduce the number of safety incidents riders experience by optimizing the officer allocation per region to deter crime.

These are real and live Machine learning and statistical models built in R language and python by kamil-Bello Furqan

Multi-class classification model for predicting the types of crimes in Toronto

Street Crime Analysis Year 2021

streetcrime: a python ABM package for urban crime

Crime Detection of Los Angeles

Georreferenciación de los delitos ocurridos en el municipio de Bucaramanga actualizado a diciembre del 2021 esta informacion es historica.

Crime_Prediction-XGBoost

Africa Crime Analysis and Forecasting Tool

Crime_Prediction_XGBoost

Optimized XGBoost model for crime prediction with hyperparameter tuning and feature engineering and preprocessing techniques to achieve a better model performance with a improved F1 score of 0.71 with Accuracy=0.724

DATA MINING 18IS62