Customs Risk Management Based on Outlier Data Mining

Chang Wei Liu; Xin Hong Zhang; Jing Hui Duan; Bing Zhi Huang

doi:10.4028/www.scientific.net/AMM.501-504.2682

Paper Titles

Research on the Process and Types of the Construction Projects
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Application Analysis of BIM in China Zun Foundation Project
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The Teaching Mode Reform Exploring of «Engineering Bidding and Contract Management»
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Integration of Facility Management and Project Management as an Effective Management Tool for Development Projects
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Customs Risk Management Based on Outlier Data Mining
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Research on Core Competence of Construction Consultant Enterprises Based on the Grey Correlation Method
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Based on the System Dynamics Construction Phase of the Project Cost Control Study
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The Occupational Health and Safety Management of Workers in Building Construction Site
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Strategies in Using Building Information Modeling (BIM) to Solve Problems in Project Management of Chinese Construction Enterprises
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Customs Risk Management Based on Outlier Data Mining

Abstract:

By using outlier data mining, this paper studied customs risk management in China. Our research contents are summarized as follows: First, we study the status of Customs risk management and we study other scholars’ research of the outlier data mining. Second, we introduce index of outliers and we use outlier data mining to establish a risk estimation model. Finally, we test the affectivity of this model by empirical analysis.