Financial Data Anomaly Detection Method Based on Decision Tree and Random Forest Algorithm

Financial Data Anomaly Detection Method Based on Decision Tree and Random Forest Algorithm

The fast-developing computer network not only brings convenience to people but also brings security problems to people due to the appearance of various abnormal flows. However, various current detection systems for abnormal network flows have more or less flaws, such as the most common intrusion det...

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Bibliographic Details
Main Author:	Qingyang Zhang
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Journal of Mathematics
Online Access:	http://dx.doi.org/10.1155/2022/9135117
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