Supporting rough set theory in very large databases using oracle RDBMS

Author

Chen, Rayne ; Lin, T.Y.

Author_Institution

Amdahl Corp., Sunnyvale, CA, USA

fYear

1996

fDate

11-14 Dec 1996

Firstpage

332

Lastpage

337

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/AFSS.1996.583625

Filename

583625