Application of Data Mining Technology in Financial Data Analysis Methods Under the Background of Big Data

Application of Data Mining Technology in Financial Data Analysis Methods Under the Background of Big Data

연구 분야: Databases

학회: 2023 International Conference on Data Science and Network Security (ICDSNS)

With the development of the times, the financial industry has gradually become the focus of people's attention. Financial data analysis can help banks analyze various information of customers and decide which business to engage in with them. However, the analytical capabilities of current financial data analysis methods are still insufficient, so new technologies need to be used to improve. The application of data mining technology in financial data analysis methods under the background of big data studied in this article aimed to improve the analytical ability of financial data analysis using data mining technology. This article tested the repayment rate of customers after using data mining technology through experiments. The data showed that the highest repayment rate was 92%, indicating that financial data analysis using data mining technology is very accurate in analyzing customers' repayment ability. The experimental test showed that the use of data mining technology can increase bank revenue by up to 19%, indicating that data mining technology can bring significant benefits to banks. Through these two experiments, it can be proven that data mining technology and financial data analysis methods have a high degree of compatibility.