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| An Application of Rough Set Theory to Modelling and Utilising Data Warehouses | |
| 作者姓名： | DENG Ming-rong YANG Jian-bo PAN Yun-he . School of Management Zhejiang University Hangzhou China . Manchester School of Management nstitute of Science and Technology University of Manchester M QD UK . Zhejiang University Hangzho |
| 作者单位： | DENG Ming-rong1，YANG Jian-bo2，PAN Yun-he3 1. School of Management，Zhejiang University，Hangzhou 310028，China 2. Manchester School of Management，1nstitute of Science and Technology，University of Manchester，M60 1QD，UK 3. Zhejiang University，Hangzho |
| 摘 要： | 1 IntroductionBuilding a data warehouse is an effective way for accommodating enormous historical datathat should be subject oriented and organised in hierarchies, and for providing a goodenvironment for knowledge discovery. Dimensional modelling is a logical design techniqueoften used for data warehousing. Every hierarchy related to a concept is reflected in thedefinition of a dimension.Summary information at all leve1s defined using dimensions accounts for most of thecontents in a data wareh… |
An Application of Rough Set Theory to Modelling and Utilising Data Warehouses |
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| DENG Ming-rong,YANG Jian-bo,PAN Yun-he . School of Management,Zhejiang University,Hangzhou ,China . Manchester School of Management,nstitute of Science and Technology,University of Manchester,M QD,UK . Zhejiang University,Hangzho.An Application of Rough Set Theory to Modelling and Utilising Data Warehouses[J].Journal of Systems Science and Systems Engineering,2001,10(4). | |
| Authors: | DENG Ming-rong YANG Jian-Bo PAN Yun-he |
| Institution: | 1. School of Management, Zhejiang University, Hangzhou 310028, China 2. Manchester School of Management, Institute of Science and Technology, University of Manchester, M60 1QD, UK 3. Zhejiang University, Hangzhou 310027, China |
| Abstract: | A data warehouse often accommodates enormous summary information in various granularities and is mainly used to support on-line analytical processing. Ideally all detailed data should be accessible by residing in some legacy systems or on-line transaction processing systems. In many cases, however, data sources in computers are also kinds of summary data due to technological problems or budget limits and also because different aggregation hierarchies may need to be used among various transaction systems. In such circumstances, it is necessary to investigate how to design dimensions, which play a major role in dimensiona1 mode1 for a data warehouse, and how to estimate summary information, which is not stored in the data warehouse. In this paper, the rough set theory is applied to support the dimension design and information estimation. |
| Keywords: | rough sets data warehouse dimension |
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