Research on information monitoring and risk identification of letters and visits based on internet Big Data

Nan Jia; Qi Huang; Ling Jia

doi:10.1117/12.2628701

22 April 2022 Research on information monitoring and risk identification of letters and visits based on internet Big Data

Nan Jia, Qi Huang, Ling Jia

Author Affiliations +

Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 121740L (2022) https://doi.org/10.1117/12.2628701
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China

Abstract

In order to identify the risk of the letter and visit stability work, on the basis of summarizing the existing research methods, put forward a scheme for the monitoring and risk identification of the letter and visit information based on the big data of the Internet. Firstly, through real-time network crawler and other means to establish the labor relations field letter information monitoring data set, then based on data mining technology, relying on the network big data to carry out risk identification research on the letter and visit information, and finally based on the letter and visit information monitoring and risk identification results put forward a preventive mechanism.

Citation Download Citation

Nan Jia, Qi Huang, and Ling Jia "Research on information monitoring and risk identification of letters and visits based on internet Big Data", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 121740L (22 April 2022); https://doi.org/10.1117/12.2628701

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