Supporting rough set theory in very large databases using oracle RDBMS

被引:2
作者
Chen, R
Lin, TY
机构
来源
SOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSING | 1996年
关键词
D O I
10.1109/AFSS.1996.583625
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Earlier a ''new'' rough set theory for very large databases was proposed by Lin. In this paper the authors attempt to evaluate the performance of such a rough set theory for a very large database. ORACLE, a relational database management system (RDBMS), is the market leader in open system databases. Windows NT has been growing into the data server environment and is a strong contender for decision support system applications with its open and cost-effective architecture. So ORACLE running under Windows NT was used in this report. The main goal of this research is to formulate a suitable rough set theory for very large databases.
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页码:332 / 337
页数:6
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