Analysis of Distributed Databases with a Hybrid Rough Sets Approach

被引：0

作者：

Pattaraintakorn, Puntip ^{[1
]}

机构：

[1] KMITL, Fac Sci, Dept Math & Comp Sci, Bangkok 10520, Thailand

来源：

2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 | 2008年

关键词：

Rough set theory; relational database; distributed knowledge; survival analysis; artificial intelligence;

D O I：

10.1109/IJCNN.2008.4634095

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The aim of this paper is to offer mathematical proofs of Pawlak's rough set theory about distributed knowledge based on rough sets and relational databases. A case study on actual self-reported geriatric data for survival analysis is presented to provide a computational evidence of the distributed knowledge. Risk factors, prolongation time prediction rules and validation are also computed and discussed. We illustrate that dividing a decision table (or database) into smaller units will in general result in the loss of some information by rough set theory.

引用

页码：2158 / 2163

页数：6

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