Express-related Counterfeit Cigarette Crime Prediction with Imbalanced Data-based Machine Learning Techniques-Reference-Cited by-同舟云学术

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Express-related Counterfeit Cigarette Crime Prediction with Imbalanced Data-based Machine Learning Techniques

Published:2022-09-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition
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Author:

Liu Wei¹^ORCID,Xu Rong-yao¹^ORCID,Qiao Lang-chao²^ORCID,Wang Jin-lu²^ORCID,Gao Bao-hong²^ORCID,Yang Xin-gang²^ORCID,Feng Wen-tao²^ORCID

Affiliation:

1. School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, China

2. Division of Monopoly Administration, Shaanxi Branch of China National Tobacco Corporation, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573942.3573951

Reference23 articles.

1. Express-related counterfeit cigarette criminality analysis based on spatio-temporal data features;Langchao WANG;Chinese Journal of Tobacco,2021

2. WEI Yingyi. 2018. Analysis on the Acceptance and Application of Electronic Evidence in Combating Internet Cigarette-related Crimes. Guangxi Tobacco Society 2018 Papers. 2018:187-192.

3. Study on the Countermeasures of Network Cigarette-related Crime;Minghua;Legal System and Society,2020

4. Application of Big Data on' Internet + Delivery 'Cigarette-related Crime;Yi YANG;Computer Products and Circulation,2018

5. Pizarro M E, Giacobone G, Shammah C, 2021. Illicit tobacco trade: empty pack survey in eight Argentinean cities. Tobacco Control, 2021.

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