Big Data Analysis and Intelligent Management of Entry-Exit Border Inspection Information
Authors
Kai Qi1, *, Qiang Wang1
1College of Immigration Management, Research Center for International Migration Administration (Border and Entry Exit Security Research Center), China People’s Police University, Langfang, Heibei, China
*Corresponding author.
Email: 420070368@qq.com
Corresponding Author
Kai Qi
Available Online 7 December 2022.
- DOI
- 10.2991/978-94-6463-016-9_43How to use a DOI?
- Keywords
- Information statistics; intelligence management; Big data analysis
- Abstract
Based on the status quo of entry and exit border inspection data statistics and management, analyzes its laws and characteristics, predicts its development trend, explores the use of modern information technologies such as artificial intelligence, big data, cloud computing, and improves the level of entry and exit border inspection data statistics management to enable entry and exit border inspection data statistics and management, which have become more scientific, standardized and intelligent.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Kai Qi AU - Qiang Wang PY - 2022 DA - 2022/12/07 TI - Big Data Analysis and Intelligent Management of Entry-Exit Border Inspection Information BT - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022) PB - Atlantis Press SP - 412 EP - 418 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-016-9_43 DO - 10.2991/978-94-6463-016-9_43 ID - Qi2022 ER -