E-commerce Mobile Payment Risk Trend Prediction
AUTHORS
Kapil Vaghela, Department of Computer Engineering, K. J. Somaiya College of Engineering, Vidyavihar, Mumbai, India
ABSTRACT
The risk of e-commerce mobile payment is relatively volatile, and traditional methods cannot predict the changing trend of e-commerce mobile payment risks, which makes the accuracy of e-commerce mobile payment risk prediction low. Based on analyzing the characteristics of e-commerce mobile payment risks, data mining technology is introduced to model and predict e-commerce mobile payment risks, and to conduct comparative experiments with other e-commerce mobile payment risk prediction models. It can be seen from the results of simulation comparison experiments that the e-commerce mobile payment risk prediction value of this method has a small deviation from the true value, and the e-commerce mobile payment risk prediction accuracy is very high, which effectively reduces the e-commerce mobile payment risk prediction error. The risk prediction accuracy of business mobile payment is lower than the model in this paper, and the model of e-commerce mobile payment risk prediction in this paper takes less time. The comparison results show that the model in this paper can predict more accurately, faster, and more reliably the risks of e-commerce mobile payment, and it is an effective e-commerce mobile payment risk prediction model.
KEYWORDS
Electronic transaction, Mobile payment, Risk management, Data mining, Time series, Risk prediction model
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