{"title":"Constructing a domain dependent case-base for database schema design with case-based reasoning","authors":"Yong-Kee Paek , Jungyun Seo, Gil-Chang Kim","doi":"10.1016/0165-6074(94)90030-2","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents the potential for case-based reasoning in design problems, specifically as applied to relational database schema design. The proposed system relies on two case-bases that consist of a Domain Dependent Case-Base (DDCB) and a Domain Independent Case-Base (DICB). We focus on the DDCB in this paper. The organization of domain dependent cases and their features for design are identified. The strategies for retrieving the relevant cases, for building a rough solution, for repairing the rough solution, and for learning cases, currently under development, are also described.</p></div>","PeriodicalId":100927,"journal":{"name":"Microprocessing and Microprogramming","volume":"40 10","pages":"Pages 737-741"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0165-6074(94)90030-2","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microprocessing and Microprogramming","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0165607494900302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper presents the potential for case-based reasoning in design problems, specifically as applied to relational database schema design. The proposed system relies on two case-bases that consist of a Domain Dependent Case-Base (DDCB) and a Domain Independent Case-Base (DICB). We focus on the DDCB in this paper. The organization of domain dependent cases and their features for design are identified. The strategies for retrieving the relevant cases, for building a rough solution, for repairing the rough solution, and for learning cases, currently under development, are also described.
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