A comparison of rule sets induced by techniques based on rough set theory

Author

Brtka, Vladimir ; Berkovic, Ivana ; Brtka, Eleonora ; Jevtic, Vesna

Author_Institution

Tech. Fac. "Mihajlo Pupin", Zrenjanin

fYear

2008

fDate

26-27 Sept. 2008

Firstpage

1

Lastpage

4

Abstract

The main goal of this paper is to investigate the performance of rule sets obtained by different techniques based on the rough set theory. The performance of a rule set is defined as its ability to classify a set of objects into predefined classes. The set of rules contains the if then form rules. The set of objects is represented by flat table (table, organized data) where each object is represented by its attributes. To generate the rule sets we have used Rosetta software system. The performance of rule sets is measured by employment of the confusion matrix.

Keywords

data mining; matrix algebra; pattern classification; rough set theory; Rosetta software system; attribute set reduction; confusion matrix; if then rule set; object classification; rough set theory; Data analysis; Data mining; Employment; Information analysis; Information science; Inspection; Knowledge based systems; Performance analysis; Set theory; Software systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Informatics, 2008. SISY 2008. 6th International Symposium on

Conference_Location

Subotica

Print_ISBN

978-1-4244-2406-1

Electronic_ISBN

978-1-4244-2407-8

Type

conf

DOI

10.1109/SISY.2008.4664974

Filename

4664974