Title :
Study and applications of data mining to the structure risk analysis of customs declaration cargo
Author :
Yan-Hai, Li ; Lin-yan, SUN
Author_Institution :
Xi´´an Jiaotong Univ.
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
Keywords :
data mining; decision making; freight handling; inspection; risk analysis; statistical analysis; cluster method; custom declaration cargo; customs inspection; data mining; structure risk analysis; Books; Data analysis; Data mining; Pareto analysis; Reactive power; Risk analysis; Risk management; Statistics; Sun; Synthetic aperture sonar; Customs; Data mining; Structure of Declaration Cargo; cluster method;
Conference_Titel :
e-Business Engineering, 2005. ICEBE 2005. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2430-3
DOI :
10.1109/ICEBE.2005.113
