Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction [PDF]
ISPRS International Journal of Geo-Information, 2019 Crime geographical displacement has been examined in many Western countries. However, little is known about its existence, distribution, and potential predictive ability in large cities in China.
Zengli Wang +3 more
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Enhancing short-term crime prediction with human mobility flows and deep learning architectures [PDF]
EPJ Data Science, 2022 Place-based short-term crime prediction models leverage the spatio-temporal patterns of historical crimes to predict aggregate volumes of crime incidents at specific locations over time.
Jiahui Wu +4 more
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A Systematic Review of Multi-Scale Spatio-Temporal Crime Prediction Methods
ISPRS International Journal of Geo-Information, 2023 Crime is always one of the most important social problems, and it poses a great threat to public security and people. Accurate crime prediction can help the government, police, and citizens to carry out effective crime prevention measures. In this paper,
Yingjie Du, Ning Ding
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ISPRS International Journal of Geo-Information, 2020 Crime prediction using machine learning and data fusion assimilation has become a hot topic. Most of the models rely on historical crime data and related environment variables.
Hongjie Yu +3 more
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Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
IEEE Access, 2023 Predicting crime using machine learning and deep learning techniques has gained considerable attention from researchers in recent years, focusing on identifying patterns and trends in crime occurrences.
Varun Mandalapu +3 more
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Examining Deep Learning Architectures for Crime Classification and Prediction
Forecasting, 2021 In this paper, a detailed study on crime classification and prediction using deep learning architectures is presented. We examine the effectiveness of deep learning algorithms in this domain and provide recommendations for designing and training deep ...
Panagiotis Stalidis +2 more
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Urban Crime Risk Prediction Using Point of Interest Data
ISPRS International Journal of Geo-Information, 2020 Geographical information systems have found successful applications to prediction and decision-making in several areas of vital importance to contemporary society.
Paweł Cichosz
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Dynamic transfer learning with co-occurrence-guided multi-source fusion for urban spatio-temporal crime prediction [PDF]
Frontiers in Big DataSpatio-temporal crime prediction is crucial for optimizing police resource allocation but faces challenges including data sparsity, which hinders models from extracting effective patterns and limits robustness—and the underutilization of cross-type crime
Chen Cui +4 more
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Leveraging transfer learning with deep learning for crime prediction. [PDF]
PLoS ONECrime remains a crucial concern regarding ensuring a safe and secure environment for the public. Numerous efforts have been made to predict crime, emphasizing the importance of employing deep learning approaches for precise predictions.
Umair Muneer Butt +3 more
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Grid-Based Crime Prediction Using Geographical Features
ISPRS International Journal of Geo-Information, 2018 Machine learning is useful for grid-based crime prediction. Many previous studies have examined factors including time, space, and type of crime, but the geographic characteristics of the grid are rarely discussed, leaving prediction models unable to ...
Ying-Lung Lin +2 more
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