지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Electrical Engineering and Information Science Journal of Electrical Engineering and Information Science Vol.1 No.2
- 발행연도
- 1996.6
- 수록면
- 145 - 156 (12page)
이용수
초록· 키워드
오류제보하기
Although knowledge discovery is increasingly important in databases, the discovered knowledge sets may not be effectively used for application domains. It is partly because knowledge discovery does not take user's interests into account, and too many knowledge sets are discovered to handle efficiently. We believe that user's interests are conveyed by a query and if a nested query is concerned it may include a user's thought process. This paper describes a novel concept for discovering knowledge sets based on query processing. Knowledge discovery process is performed by: extracting features from databases, spanning features to generate range features, and constituting a knowledge set. The contributions of this paper include the following: (1) not only simple queries but also nested queries are considered to discover knowledge sets regarding user's interests and user's thought process, (2) not only positive examples (answer to a query) but also negative examples are considered to discover knowledge sets regarding database abstraction and database exceptions. and (3) finally, the discovered knowledge sets are quantified.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Related Work
Ⅲ. Preliminaries
Ⅳ. Intuition
Ⅴ. Knowledge Discovery on Query Processing
Ⅵ. Knowledge Discovery via Nested Queries
Ⅶ. Conclusion
References
저자소개
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UCI(KEPA) : I410-ECN-0101-2009-569-017763723