Security alert: Generalized deep multi‐view representation learning for crime forecasting-Reference-Cited by-同舟云学术

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Security alert: Generalized deep multi‐view representation learning for crime forecasting

Published:2022-01-27 Issue:1 Volume:39 Page:4-17
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Zheng Ziwan¹,Xia Yu²,Chen Xiaocong³,Yao Junwei³

Affiliation:

1. Institute of Big Data and Cyber Security Zhejiang Police College Hangzhou Zhejiang China

2. School of Management, Fudan University Shanghai China

3. Computer Science Engineering School, University of New South Wales Sydney New South Wales Australia

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12504

Reference12 articles.

1. WangH KiferD GraifC LiZ.Crime rate inference with big data. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2016:635‐644; ACM New York NY.

2. Predicting crime using Twitter and kernel density estimation

3. Al BoniM GerberMS.Predicting crime with routine activity patterns inferred from social media. Proceedings of the 2016 IEEE International Conference on Systems Man and Cybernetics (SMC); 2016:001233‐001238; IEEE.

4. ZhaoX TangJ.Modeling temporal‐spatial correlations for crime prediction. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management; 2017:497‐506; ACM New York NY.

5. Community Crime Prevention

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2. Is the spatial distribution of urban green space associated with crime in Chicago?;Urban Forestry & Urban Greening;2024-05

3. A Review of Deep Learning Methods for Detection of Gatherings and Abnormal Events for Public Security;Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022);2022-11-21

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