Crime amount prediction based on 2D convolution and long short-term memory neural network

Crime amount prediction based on 2D convolution and long short-term memory neural network

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-of-interest (POI), public service complai...

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Bibliographic Details
Main Authors: Qifen Dong, Ruihui Ye, Guojun Li
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2022-04-01
Series:ETRI Journal
Subjects:
2d convolution
crime amount prediction
lstm
temporal-spatial correlations
regional spatial features
Online Access:https://doi.org/10.4218/etrij.2021-0396

Internet

https://doi.org/10.4218/etrij.2021-0396

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