Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey

arXiv:2403.00780v1 Announce Type: new
Abstract: This survey paper presents a comprehensive analysis of crime prediction methodologies, exploring the various techniques and technologies utilized in this area. The paper covers the statistical methods, machine learning algorithms, and deep learning techniques employed to analyze crime data, while also examining their effectiveness and limitations. We propose a methodological taxonomy that classifies crime prediction algorithms into specific techniques. This taxonomy is structured into four tiers, including methodology category, methodology sub-category, methodology techniques, and methodology …

abstract algorithms analysis analyze arxiv crime cs.ai cs.lg data data mining deep learning deep learning techniques experimental insights machine machine learning machine learning algorithms mining paper prediction statistical survey technologies type