본문 바로가기
  • Home

연관규칙을 이용한 문헌정보학 전문용어 클러스터링 기법에 관한 연구

  • Journal of the Korean Society for Library and Information Science
  • 2003, 37(2), pp.89-105
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science

SEUNG, HYON WOO 1 Park Mi Young 1

1서울여자대학교

Accredited

ABSTRACT

In this paper, an effective method for clustering terminologies extracted from text is proposed, in order to develope a search engine to extract relevant information from large web documents. To prevent frequency of the meaningless association rules among general terminologies, only useful association rules among terminologies are produced using database tables which consist of domain-specific terminologies. Such association rules are produced by applying the Apriori algorithm after forming transaction units from groups of association rules in a document. A group of association rules produced from a terminology forms in a cluster.

Citation status

* References for papers published after 2022 are currently being built.