한국해양공학회:학술대회논문집 (Proceedings of the Korea Committee for Ocean Resources and Engineering Conference)

한국해양공학회 (Korean Society of Ocean Engineers)
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조선기술지식 관리를 위한 개선된 데이터 마이닝 시스템 개발

Development of Enhanced Data Mining System for the knowledge Management in Shipbuilding

  • 이경호 (인하대학교 선박해양공학과) ;
  • 양영순 (서울대학교 조선해양공학과) ;
  • 오준 (인하대학교 선박해양공학과) ;
  • 박종훈 (인하대학교 선박해양공학과)
  • Lee, Kyung-Ho (Department of Naval Architecture and Ocean Engineering, INHA University) ;
  • Yang, Young-Soon (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Oh, June (Department of Naval Architecture and Ocean Engineering, INHA University) ;
  • Park, Jong-Hoon (Department of Naval Architecture and Ocean Engineering, INHA University)
  • 발행 : 2006.11.16
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초록

As the age of information technology is coming, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. we focused on data mining system by using genetic programming. But, we don't have enough data to perform the learning process of genetic programming. We have to reduce input parameter(s) or increase number of learning or training data. In order to do this, the enhanced data mining system by using GP combined with SOM(Self organizing map) is adopted in this paper. We can reduce the number of learning data by adopting SOM.

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