支持粗糙集理论在非常大的数据库使用oracle RDBMS

Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI:10.1109/AFSS.1996.583625

R. Chen, T.Y. Lin

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引用次数: 9

摘要

早些时候，T.Y. Lin(1996)提出了一个“新的”大型数据库粗糙集理论。在本文中，作者试图评估这种粗糙集理论在一个非常大的数据库中的性能。ORACLE是一种关系数据库管理系统(RDBMS)，是开放系统数据库的市场领导者。Windows NT已经成长为数据服务器环境，并凭借其开放和经济高效的体系结构成为决策支持系统应用程序的有力竞争者。因此，本报告使用的是在Windows NT下运行的ORACLE。本研究的主要目标是为非常大的数据库制定一个合适的粗糙集理论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Supporting rough set theory in very large databases using oracle RDBMS

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.

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Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium

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