Research Article
In-Depth Research and Exploration of Financial Data Mining Technology Based on the Background of Big Data
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334431, author={Xiaoyu Zhou and Boling Wu}, title={In-Depth Research and Exploration of Financial Data Mining Technology Based on the Background of Big Data}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={big data; data mining; financial data analysis; system module}, doi={10.4108/eai.19-5-2023.2334431} }- Xiaoyu Zhou
Boling Wu
Year: 2023
In-Depth Research and Exploration of Financial Data Mining Technology Based on the Background of Big Data
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334431
Abstract
Along with the large-scale application of financial institutions' management information systems, financial institutions have generated massive amounts of data in their daily use. However, this huge amount of data is not used efficiently, and financial managers only get some superficial information in their daily management by simple statistics and sorting and filtering potential methods. These financial data are accumulated from the history of daily work and management practices, so there is a large amount of useful financial data hidden in them, and it is a problem that needs to be studied in depth to find out the risks and control and prevent the occurrence of risks by mining this resource to a deeper extent.
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