Title :
Supporting rough set theory in very large databases using oracle RDBMS
Author :
Chen, Rayne ; Lin, T.Y.
Author_Institution :
Amdahl Corp., Sunnyvale, CA, USA
Abstract :
Earlier a “new” rough set theory for very large databases was proposed by T.Y. Lin (1996). 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
Keywords :
relational databases; set theory; very large databases; Windows NT; data server environment; decision support system; oracle RDBMS; performance evaluation; relational database management system; rough set theory; very large databases; Data mining; Decision support systems; Medical diagnosis; Open systems; Operating systems; Relational databases; Set theory; Stock markets; Stress; Testing;
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
DOI :
10.1109/AFSS.1996.583625
