Study on the willingness behavior of financial market based on clustering algorithm

Yuting Hu

doi:10.1117/12.2625007

19 December 2021 Study on the willingness behavior of financial market based on clustering algorithm

Yuting Hu

Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 121280I (2021) https://doi.org/10.1117/12.2625007
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China

Abstract

In the continuous innovation of cloud computing technology, the financial market is facing more and more risks. Especially on the basis of the large-scale promotion of big data technology concept, financial institutions should strengthen the analysis of financial market willingness and behavior after integrating their own development experience. With the increasing number and demand of system users, the remote sensing cloud service platform has been unable to provide the required services for users in the financial market. Therefore, it is necessary to provide them with diversified and customized high-quality services on the basis of a comprehensive understanding of users' personalized behaviors. Therefore, after clarifying user behavior methods and related technical concepts in the cloud computing environment, this paper conducts prediction and analysis of user behavior according to the optimized K-means clustering algorithm, and finally verifies the validity and accuracy of this model.

Citation Download Citation

Yuting Hu "Study on the willingness behavior of financial market based on clustering algorithm", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 121280I (19 December 2021); https://doi.org/10.1117/12.2625007

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