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Interpretable machine learning models for crime prediction
Computers, Environment and Urban Systems, 2022Xu Zhang, Song Guangwen, Minxuan Lan
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Spatio-Temporal Graph Neural Networks for Accurate Crime Prediction
International Conference on Computer and Knowledge Engineering, 2023As a matter of public safety and resource allocation, crime prediction is of paramount importance. As a result of applying data preprocessing techniques and a graph-based approach, this paper presents a crime prediction model.
Rojan Roshankar, M. Keyvanpour
semanticscholar +1 more source
IEEE Transactions on Knowledge and Data Engineering, 2023
Fine-grained urban crime prediction is of great significance to urban management and public safety. Previous crime prediction work has been done at a relatively coarse time granularity, which may suffer from two issues for fine-grained crime prediction ...
Shuai Zhao +3 more
semanticscholar +1 more source
Fine-grained urban crime prediction is of great significance to urban management and public safety. Previous crime prediction work has been done at a relatively coarse time granularity, which may suffer from two issues for fine-grained crime prediction ...
Shuai Zhao +3 more
semanticscholar +1 more source
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition
IEEE Transactions on Big Data, 2023The goal of crime prediction is to forecast the number of crime incidents at each region of a city based on the historical crime data. It has attracted a great deal of attention from both academic and industrial communities due to its considerable ...
Weichao Liang +6 more
semanticscholar +1 more source
International Conferences on Contemporary Computing and Informatics, 2023
Urban crime prediction is of major interest to police departments and criminologists. This study focuses on the prediction of urban crime for 4 Indian cities (Surat, Delhi, Bangalore, Kolkata). Prediction is made for the total IPC crime rate for selected
Hrutvik K. Sharma, R. Tailor
semanticscholar +1 more source
Urban crime prediction is of major interest to police departments and criminologists. This study focuses on the prediction of urban crime for 4 Indian cities (Surat, Delhi, Bangalore, Kolkata). Prediction is made for the total IPC crime rate for selected
Hrutvik K. Sharma, R. Tailor
semanticscholar +1 more source
Machine Learning based Advanced Crime Prediction and Analysis
2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2023One of the society’s most important challenges is crime. It is the most visible part of our civilization. As a result, one of the most crucial jobs is crime prevention. Machine learning approach can better help in the prediction and analysis of the crime.
Sameya Khatun +5 more
semanticscholar +1 more source
2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA), 2023
Crime prediction is crucial to contemporary law enforcement and policies ensuring public safety. This study introduces a novel method for crime prediction by using deep learning. Specifically, the methodology involves the detection of violent objects and
Md Rahatul Islam +6 more
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Crime prediction is crucial to contemporary law enforcement and policies ensuring public safety. This study introduces a novel method for crime prediction by using deep learning. Specifically, the methodology involves the detection of violent objects and
Md Rahatul Islam +6 more
semanticscholar +1 more source
Citywide Multi-Step Crime Prediction via Context-Aware Bayesian Tensor Decomposition
IEEE Transactions on Information Forensics and SecurityCrime prediction, which focuses on forecasting the occurrence of criminal activities across city regions before they occur, constitutes an essential capability of surveillance systems designed to enhance urban security.
Weichao Liang +6 more
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MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction
ACM Transactions on Intelligent Systems and TechnologyGiven a specific region, crime prediction aims to predict the occurrence of various crime events within a certain period of time in future, which is of high significance for guaranteeing urban safety.
Chang Wei +4 more
semanticscholar +1 more source
START: A Spatiotemporal Autoregressive Transformer for Enhancing Crime Prediction Accuracy
IEEE Transactions on Computational Social SystemsThis study presents a spatiotemporal autoregressive transformer (START) that combines the strengths of spatiotemporal transformers and vector autoregression (VAR) to predict crime by type, handling nonstationary data and capturing long-term dependencies.
Umair Muneer Butt +3 more
semanticscholar +1 more source