A deep learning framework for predicting burglaries based on multiple contextual factors

作者：

Highlights：

• A novel attention-based deep learning framework for burglary prediction.

• Predicting burglaries with municipal districts and grid cells.

• Incorporating static and sequential contexts and modeling them by their type.

摘要

•A novel attention-based deep learning framework for burglary prediction.•Predicting burglaries with municipal districts and grid cells.•Incorporating static and sequential contexts and modeling them by their type.

论文关键词：Crime prediction,Contextual information,Deep learning

论文评审过程：Received 13 September 2021, Revised 9 January 2022, Accepted 27 March 2022, Available online 7 April 2022, Version of Record 12 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117042