Analysis of distributed databases with a hybrid rough sets approach

Author

Pattaraintakorn, Puntip

Author_Institution

Dept. of Math. & Comput. Sci., Ladkrabang (KMITL), Bangkok

fYear

2008

fDate

1-8 June 2008

Firstpage

2158

Lastpage

2163

Abstract

The aim of this paper is to offer mathematical proofs of Pawlakpsilas 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.

Keywords

distributed databases; knowledge based systems; relational databases; rough set theory; distributed databases; distributed knowledge; hybrid rough sets approach; relational databases; survival analysis; Artificial intelligence; Costs; Data analysis; Data mining; Distributed databases; Geriatrics; Relational databases; Rough sets; Senior citizens; Set theory; Rough set theory; artificial intelligence; distributed knowledge; relational database; survival analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on

Conference_Location

Hong Kong

ISSN

1098-7576

Print_ISBN

978-1-4244-1820-6

Electronic_ISBN

1098-7576

Type

conf

DOI

10.1109/IJCNN.2008.4634095

Filename

4634095