We describe the current state of crime prediction research from four perspectives (prediction content, crime types, methods, and evaluation) and focus on the prediction methods.

Description: proposed Apriori algorithm to identify the trends and patterns in crime. This algorithm is also used to determine association rules highlighting general trends in the database.

We test a variety of categorization techniques, including Decision Trees, Random Forests, and KNN (K-Nearest Neighbors). Additionally, we carry out various categorization tasks. First, we …

The project entails creating and deploying AI and ML algorithms that can analyze videos in real time. The system can recognize and classify occurrences like traffic jams, questionable …

Crime prediction involves analyzing diverse factors such as geographic, spatial, and temporal patterns, socio-economic indicators, demographic traits, and contextual variables.

Crime analysis and prediction is a systematic approach for identifying the crime. This system can predict region which have high probability for crime occurrences and visualize crime prone …

In this survey, the analysis of techniques that can be used for detecting and predicting crime is done to minimize the rate of crime. Different techniques are learned such as Association rule …