Web Mining for Improving Risk Assessment in Port State Control Inspection

机译：Web挖掘可改善港口国控制检查中的风险评估

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摘要

Port State Control (PSC) inspection is the most important mechanism to ensure world marine safety. Existing PSC risk assessment systems estimate the risk of each candidate ship on the target factors, which is recorded in the inspection database, to help the port authorities identify ships at high risks. The performance of these systems is difficult to be improved due to the limited available factors. This paper presents an improved risk assessment system, which is strengthened by web mining technique.This system employs profile-based wrapper to extract inspection details from inspection report web pages and adopts a templatematching-based method to extract new target features from deficiency details. By incorporating new target features, the risk assessment system based on Support Vector Machine is improved. Experimental results have shown that the new system improves the risk assessment accuracy effectively.

机译：港口国控制（PSC）检查是确保世界海洋安全的最重要机制。现有的PSC风险评估系统会根据目标因素估算每艘候选船舶的风险，并记录在检查数据库中，以帮助港口当局识别高风险的船舶。由于有限的可用因素，很难提高这些系统的性能。本文提出了一种改进的风险评估系统，并通过Web挖掘技术对其进行了增强。该系统采用基于概要的包装器从检查报告网页中提取检查细节，并采用基于模板匹配的方法从缺陷细节中提取新的目标特征。通过合并新的目标特征，改进了基于支持向量机的风险评估系统。实验结果表明，新系统有效地提高了风险评估的准确性。

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《2007 IEEE International Conference on Natural Language Processing and Knowledge Engineering(NLP-KE'07)》|2007年|1-8|共8页
会议地点 Beijing(CN)
作者
Z.Liu; rnA.J.M.Pemen; rnE.J.M.van Heesch; rnK.Yan; rnG J.J.Winands; rnD.B.Pawlok;
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Ruifeng XU@Department of Computing,The Hong Kong Polytechnic University,Kowloon, Hong Kong--Qin LU@Department of Computing,The Hong Kong Polytechnic University,Kowloon, Hong Kong--K.X. LI@Department of Logistics,The Hong Kong Polytechnic University,Kowloon, Hong Kong--Wenjie LI@Department of Computing,The Hong Kong Polytechnic University,Kowloon, Hong Kong--;

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中图分类程序设计、软件工程;
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Web Mining for Improving Risk Assessment in Port State Control Inspection

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