BASTIAN: incorporating the Rough Sets theory into a Case-Bases Classifier System
View/Open
Author
Salamó Llorente, Maria
Golobardes, Elisabet
Other authors
Universitat Ramon Llull. La Salle
Publication date
2000-10Abstract
This paper proposes how to incorporate the Rough Sets theory as a weighting method into a Case-Based Classifier System. This hybrid system has been implemented into the platform called BASTIAN ( case-BAsed SysTem In clAssificatioN), which incorporate both techniques.
Thus, the main goals of the paper are: presenting the BASTIAN system, describing the hybrid method; and analysing this proposal for different domains, extracted from the UCI repository.
Document Type
Object of conference
Language
English
Subject (CDU)
004 - Computer science and technology. Computing. Data processing
62 - Engineering. Technology in general
Keywords
Raonament basat en casos
Aprenentatge automàtic
Pages
10 p.
Publisher
3r Congrés Català d'Intel·ligència Artificial, Vilanova i la Geltrú, del 5-7 d'octubre 2000
This item appears in the following Collection(s)
Rights
© ACIA
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/