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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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Multimodal Deep Learning Crime Prediction Using Tweets
IEEE Access, 2023 Crime prevention relies on crime prediction as a crucial method to determine the most effective patrol strategy for law enforcement agencies. Various approaches and solutions have been utilized to predict criminal activity.
Sakirin Tam, Omer Ozgur Tanriover
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Crime amount prediction based on 2D convolution and long short-term memory neural network
ETRI Journal, 2022 Crime amount prediction is crucial for optimizing the police patrols' arrangement in each region of a city. First, we analyzed spatiotemporal correlations of the crime data and the relationships between crime and related auxiliary data, including points ...
Qifen Dong, Ruihui Ye, Guojun Li
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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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Prediction of crime occurrence from multi-modal data using deep learning. [PDF]
PLoS ONE, 2017 In recent years, various studies have been conducted on the prediction of crime occurrences. This predictive capability is intended to assist in crime prevention by facilitating effective implementation of police patrols.
Hyeon-Woo Kang, Hang-Bong Kang
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Crime Prediction using Machine Learning with a Novel Crime Dataset
CoRR, 2022 Crime is an unlawful act that carries legal repercussions. Bangladesh has a high crime rate due to poverty, population growth, and many other socio-economic issues. For law enforcement agencies, understanding crime patterns is essential for preventing future criminal activity. For this purpose, these agencies need structured crime database.
Shohan, Faisal Tareque +3 more
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Smart Patrolling Based on Spatial-Temporal Information Using Machine Learning
Mathematics, 2022 With the aim of improving security in cities and reducing the number of crimes, this research proposes an algorithm that combines artificial intelligence (AI) and machine learning (ML) techniques to generate police patrol routes.
Cesar Guevara, Matilde Santos
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Anisotropic Diffusion for Improved Crime Prediction in Urban China
ISPRS International Journal of Geo-Information, 2019 As a major social issue during urban development, crime is closely related to socioeconomic, geographic, and environmental factors. Traditional crime prediction models reveal the spatiotemporal dynamics of crime risks, but usually ignore the ...
Yicheng Tang +4 more
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Big Data and Cognitive ComputingAs global urbanization accelerates, communities have emerged as key areas where social conflicts and public safety risks clash. Traditional crime prevention models experience difficulties handling dynamic crime hotspots due to data lags and poor ...
Yuxiao Fan, Xiaofeng Hu, Jinming Hu
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