Risk Control Strategy of Internet Finance Based on Financial Big Data Background

2021 ◽  
pp. 820-824
Author(s):  
Jianjun Xiao
Keyword(s):  
Big Data ◽  
Control Strategy ◽  
Risk Control ◽  
Internet Finance

scholarly journals Financial Credit Risk Control Strategy Based on Weighted Random Forest Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guo Yangyudongnanxin
Keyword(s):  
Risk Assessment ◽  
Random Forest ◽  
Credit Risk ◽  
Control Strategy ◽  
Control Strategies ◽  
Risk Control ◽  
Evaluation Index System ◽  
Risk Level ◽  
Random Forest Algorithm ◽  
Financial Credit

In order to improve the effectiveness of financial credit risk control, a financial credit risk control strategy based on weighted random forest algorithm is proposed. The weighted random forest algorithm is used to classify the financial credit risk data, construct the evaluation index system, and use the analytic hierarchy process to evaluate the financial credit risk level. The targeted risk control strategies are taken according to different risk assessment results. We compared the proposed method with two other methods, and the experimental results show that the proposed method has higher classification accuracy of financial credit data and the risk assessment threshold is basically consistent with the actual results.

Chinese Internet Finance Credit Investigation Issue and Legal Countermeasures

2019 ◽  
pp. 193-218
Author(s):  
Cheng-Yong Liu ◽  
Ruey-Cheng Chen
Keyword(s):  
Big Data ◽  
Information Security ◽  
Public Interests ◽  
Existing Problems ◽  
Finance Industry ◽  
Blockchain Technology ◽  
Viable Solution ◽  
Internet Finance ◽  
Rights And Interests ◽  
Investigation Information

In recent years there has been a phenomenon of “Thirst for Credit Investigation Information” within China's internet finance industry. To compensate for the new credit investigation demands that traditional measures of credit investigation lack, big data credit investigation has been widely recognized as a viable solution. Big data credit investigation however poses greater risks to the rights and interests of the information subject. In order to solve the existing problems associated with the data credit investigation industry, the author advocates that special laws and regulations be revised or formulated on the basis of balancing the rights and interests of the information subject with those of public interests. In the future, the combination of big data credit investigation system with blockchain technology may effectively solve the problems that are harmful to the rights and interests of the information subject, such as information-isolated island and information security.

Chinese Internet Finance Credit Investigation Issue and Legal Countermeasures

2021 ◽  
pp. 1303-1322
Author(s):  
Cheng-Yong Liu ◽  
Ruey-Cheng Chen
Keyword(s):  
Big Data ◽  
Information Security ◽  
Public Interests ◽  
Existing Problems ◽  
Finance Industry ◽  
Blockchain Technology ◽  
Viable Solution ◽  
Internet Finance ◽  
Rights And Interests ◽  
Investigation Information

In recent years there has been a phenomenon of “Thirst for Credit Investigation Information” within China's internet finance industry. To compensate for the new credit investigation demands that traditional measures of credit investigation lack, big data credit investigation has been widely recognized as a viable solution. Big data credit investigation however poses greater risks to the rights and interests of the information subject. In order to solve the existing problems associated with the data credit investigation industry, the author advocates that special laws and regulations be revised or formulated on the basis of balancing the rights and interests of the information subject with those of public interests. In the future, the combination of big data credit investigation system with blockchain technology may effectively solve the problems that are harmful to the rights and interests of the information subject, such as information-isolated island and information security.

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