Design and evaluation of signature-based multikey access methods using term discrimination단어 분별도를 이용한 요약 다중키 접근기법의 설계 및 평가

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In general, traditional database management systems are well suited for a variety of business-processing applications in the commercial world. These applications typically use formatted data. However many new applications require to support records(or documents) containing free texts as well as formatted fields. Such new applications include library systems, medical information systems, office information systems, geographical database systems, CAD/CAM systems, and a variety of military applications. In this thesis, we propose new signature-based multikey access methods based on a term discrimination property in order to support such new applications. Using the property, we differentiate highly discriminatory terms(primary terms) from lowly discriminatory terms (secondary terms) and constuct a new, efficient access structure, e.g. inverted files and hash-table files, for primary terms so that we may achieve good retrieval performance. Due to the two-path structure of new multikey access methods, we propose a multi-term query processing strategy which gains entire accesses to primary terms and partial accesses to secondary terms. The strategy makes it possible to access the constant number of blocks, regardless of the number of secondary terms. In order to provide better performance on retrieval, we cluster similar record signatures in a small number of blocks. To make the clustering easy and effective, we construct clusters by means of the similarity of primary terms rather than all the terms. This still keeps clustering benefits to a high degree. To evaluate the space-time performance of new signature-based multikey access methods, we provide an analytic model to estimate them in terms of retrieval time, storage overhead, and insertion time. In addition, to verify the analytic model, we implement new multikey access methods and acquire experimental results which agree with theoretical results. We show from the performance results that new multikey access metho...
Advisors
Lee, Yoon-Joonresearcher이윤준researcher
Description
한국과학기술원 : 전산학과,
Publisher
한국과학기술원
Issue Date
1991
Identifier
61704/325007 / 000845287
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전산학과, 1991.2, [ [ix], 147 p. ]

Keywords

단어 분별도

URI
http://hdl.handle.net/10203/32983
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=61704&flag=dissertation
Appears in Collection
CS-Theses_Ph.D.(박사논문)
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