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A Study on the Reduction of Common Words to Classify Causes of Marine Accidents

해양사고 원인을 분류하기 위한 공통단어의 축소에 관한 연구

  • Received : 2017.05.02
  • Accepted : 2017.06.23
  • Published : 2017.06.30

Abstract

The key word (KW) is a set of words to clearly express the important causations of marine accidents; they are determined by a judge in a Korean maritime safety tribunal. The selection of KW currently has two main issues: one is maintaining consistency due to the different subjective opinion of each judge, and the second is the large number of KW currently in use. To overcome the issues, the systematic framework used to construct KW's needs to be optimized with a minimal number of KW's being derived from a set of Common Words (CW). The purpose of this study is to identify a set of CW to develop the systematic KW construction frame. To fulfill the purpose, the word reduction method to find minimum number of CW is proposed using P areto distribution function and Pareto index. A total of 2,642 KW were compiled and 56 baseline CW were identified in the data sets. These CW, along with their frequency of use across all KW, are reported. Through the word reduction experiments, an average reduction rate of 58.5% was obtained. The estimated CW according to the reduction rates was verified using the Pareto chart. Through this analysis, the development of a systematic KW construction frame is expected to be possible.

Keywords

Marine Accidents;Key Word;Causation Classification;Word Reduction;Pareto Distribution;Pareto Index

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