Study and Applications of Data Mining to the Structure Risk Analysis of Customs Declaration Cargo

Authors:
Li Yan-hai;Sun lin-yan
Affiliations:
Qingdao Customs, Shandong Province;Jiaotong University
Venue:
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Year:
2005

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Abstract

In order to solve the confliction between rapid increasing of cargo quantities and the Customs limited inspection force, a study and application of data mining is used in the structure risk analysis of customs declaration cargo. The cluster method of data mining is used in this paper to divide the cargo into seven types, thus customs can put the mainly inspection force to the high risk level cargo. The results show that this kind of method can be used to reform the operation mode of Customs inspection.