A Study on Port Improvement with the Activation of Cross-Border E-Commerce: A Study of Pyeongtaek Port

Choi, Hyukjun; Jung, Hyunjae; Lee, Dong-Hyon

doi:10.35611/jkt.2019.23.7.34

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A more recent term for women raising their children on their own is bihonmo, single-motherby-choice. The term bihonmo, although also carrying the literal meaning 'not-marriedmother,' signals a self-perception characterized by self-determination in rejection of the social norm of marriage (Choi, 2006). They enter pregnancy and child rearing, not by coincidence or force, but have made a conscious decision to pursue motherhood separately from marriage.…”

Section: Concept Of Unwed Mothersmentioning

confidence: 99%

The Social Exclusion of Child-Rearing Unwed Mothers in South Korea

Han,

Yang,

Gustafsson

2020

Handbook of Social Inclusion

View full text Add to dashboard Cite

Section: Concept Of Unwed Mothersmentioning

confidence: 99%

The Social Exclusion of Child-Rearing Unwed Mothers in South Korea

Han,

Yang,

Gustafsson

2020

Handbook of Social Inclusion

View full text Add to dashboard Cite

Risk Data Analysis of Cross Border E-commerce Transactions Based on Data Mining

Qing

Zheng

2021

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

At present, China’s foreign trade volume of cross-border e-commerce is still relatively small, the targeted legal system has not been established, and the industry access threshold is relatively low. The development of cross-border e-commerce faces many risks. Relying on data mining technology, data docking and risk control. At the data level, the risk of cross-border e-commerce transaction is processed and analyzed, and the potential risk is predicted, and more targeted risk control methods are proposed to reduce the risk of cross-border e-commerce transaction business. Aiming at this problem, this paper establishes the risk data analysis of cross-border e-commerce transactions based on data mining. In order to further verify the data accuracy of data mining technology, this paper analyzes the test values of neural network algorithm, seizure rate and inspection rate. When the misclassification loss parameter value is increased from 1 to 4, the detection rate of the model increases and the detection rate decreases. When the misclassification loss value is higher than 4, the detection rate increases, but the seizure rate decreases significantly. Therefore, the target inspection rate of the model can be changed by adjusting the misclassification loss parameter value of the model. If we set the parameter value of misclassification loss reasonably, we can achieve the goal of preventing and controlling the maximum risk with the lowest data mining cost. Through the analysis, the research in this paper has achieved ideal results, and made a contribution to data mining in cross-border e-commerce transaction risk data analysis.

show abstract

A Study on Port Improvement with the Activation of Cross-Border E-Commerce: A Study of Pyeongtaek Port

Cited by 2 publications

References 0 publications

The Social Exclusion of Child-Rearing Unwed Mothers in South Korea

The Social Exclusion of Child-Rearing Unwed Mothers in South Korea

Risk Data Analysis of Cross Border E-commerce Transactions Based on Data Mining

Contact Info

Product

Resources

About