Year: 2025
Type: article
Abstract: In order to forecast future criminal activity and improve law enforcement tactics, crime data analysis and arrest prediction entails looking at past crime data to find patterns and trends. This area analyzes a variety of variables, including time, place, demography, and the kinds of crimes committed, using statistical methods, machine learning algorithms, and data mining. The objective is to give law enforcement organizations useful information so they may better allocate resources, determine crime, and enhance public safety. It entails combining data from multiple sources, such as arrest logs, crime reports, socioeconomic information, and even environmental elements like urbanization and weather trends. To comprehend how crime trends change over time, sophisticated analytical methods such as random forest is used in predicting the arrests.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4407346133