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18 March 2022 Research on credit card default detection model and its application based on support vector machine
WeiHua Yang, JiaJia Yao
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Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121680W (2022) https://doi.org/10.1117/12.2631643
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China
Abstract
Nowadays, data mining is not only used for scientific research, but also has various applications in real life. Support vector machine (SVM) is a kind of data mining method and a generalized linear classifier for binary classification of data. Its basic principle is to map vectors to a higher dimensional space, find the maximum spacing of the separated hyperplane in this space, and this separated hyperplane is unique. In this paper, the characteristics of credit card holders and the transaction data of six months are converted into data formats required by data mining, and the prediction model of support vector machine is established. According to the predicted results, credit card default risk is analyzed to further evaluate the model used in this paper.
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WeiHua Yang and JiaJia Yao "Research on credit card default detection model and its application based on support vector machine", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121680W (18 March 2022); https://doi.org/10.1117/12.2631643
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KEYWORDS
Data modeling
Data mining
Data conversion
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