Research Topic · Peer-Reviewed

Data Mining and Information Retrieval for Crime Prevention and Forensics

Data mining and information retrieval are techniques used to detect and analyze patterns of criminal behaviour. They are used to identify relationships among elements of crime scene data, as well as to identify and track suspects. Data mining and information retrieval also enable crime prevention by providing insigh…

📚 0 peer-reviewed articles cited 🔖 ISSN 2692-5915 🗓 Reviewed July 2026

Overview

Data mining and information retrieval are techniques used to detect and analyze patterns of criminal behaviour. They are used to identify relationships among elements of crime scene data, as well as to identify and track suspects. Data mining and information retrieval also enable crime prevention by providing insights into the effectiveness of preventive measures and early warning systems. In addition, data mining and information retrieval can be used for forensics purposes such as digital evidence analysis, traceability of movement and activities of suspects, and criminal profile development. They can also help identify culprits by assisting with the identification of relationships among criminal activities and the perpetrators. Data mining and information retrieval techniques continue to be essential components in crime prevention, investigation and forensics.

Research published in this journal

No peer-reviewed research on this exact topic has been published in Advanced Forensic Sciences yet. Browse the journal →

Editorial oversight

Curated from peer-reviewed research published in Advanced Forensic Sciences (ISSN 2692-5915).

Journal editorial board
Athina Vidaki · Netherlands Timothy Palmbach · United States Ozgur Bulut · Germany

This page summarises published research for orientation; it is not medical or professional advice.