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Artificial intelligence & crime prediction: A systematic literature review
Social Sciences and Humanities Open, 2022 The security of a community is its topmost priority; hence, governments must take proper actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in crime prediction is a significant and well-researched area.
Fatima Dakalbab +5 more
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OPTIMIZED FEATURES AND DEEP LEARNING BASED CRIME TRENDS PREDICTION
ICTACT Journal on Soft Computing, 2021 Crime Prediction is an effort of determining future crime with the intention of diminishing them. Post-analysis of the data from past events, Crime prediction forecasts the future crime on the basis of time and location.
J Jeyaboopathiraja, G Maria Priscilla
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Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction [PDF]
IEEE International Conference on Data Engineering, 2022 Crime has become a major concern in many cities, which calls for the rising demand for timely predicting citywide crime occurrence. Accurate crime prediction results are vital for the beforehand decision-making of government to alleviate the increasing ...
Zhonghang Li +4 more
semanticscholar +1 more source
Hate Crime in Suffolk: Understanding prevalence and support needs [PDF]
, 2013 This research project was commissioned by the Suffolk Hate Crime Partnership with funding allocated to them from the Ministry of Justice. The aim of the project was to provide independent evidence of: the prevalence of Hate Crime in Suffolk; and the ...
Suffolk Police +6 more
core +3 more sources
SARIMA-GRU Crime Prediction Model Based on Nonlinear Combination of BP Neural Network
Taiyuan Ligong Daxue xuebao, 2023 Aiming at the problems that the current crime prediction model can not capture the composite characteristics of crime sequence data or respond to the dynamic changes of the environment in time, a SARIMA-GRU crime prediction model based on nonlinear ...
Shengchang ZHAI +4 more
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Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning [PDF]
International Joint Conference on Artificial Intelligence, 2021 Crime prediction is crucial for public safety and resource optimization, yet is very challenging due to two aspects: i) the dynamics of criminal patterns across time and space, crime events are distributed unevenly on both spatial and temporal domains ...
Lianghao Xia +6 more
semanticscholar +1 more source
Machine learning in crime prediction
Journal of Ambient Intelligence and Humanized Computing, 2023 Predicting crimes before they occur can save lives and losses of property. With the help of machine learning, many researchers have studied predicting crimes extensively.
Karabo Jenga, Ç. Çatal, Gorkem Kar
semanticscholar +1 more source
Comparison of Machine Learning Algorithms for Predicting Crime Hotspots
IEEE Access, 2020 Crime prediction is of great significance to the formulation of policing strategies and the implementation of crime prevention and control. Machine learning is the current mainstream prediction method.
Xu Zhang, Lin Liu, Luzi Xiao, Jiakai Ji
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A study on predicting crime rates through machine learning and data mining using text
Journal of Intelligent Systems, 2023 Crime is a threat to any nation’s security administration and jurisdiction. Therefore, crime analysis becomes increasingly important because it assigns the time and place based on the collected spatial and temporal data.
Saeed Ruaa Mohammed +1 more
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IEEE Access, 2021 In order to quickly and effectively respond to a newly received criminal case, information regarding the type and severity of the case is crucial for authorities.
Myung-Sun Baek +4 more
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