dc.contributor | Universitat Ramon Llull. La Salle | |
dc.contributor.author | Salamó Llorente, Maria | |
dc.contributor.author | Golobardes, Elisabet | |
dc.date.accessioned | 2021-06-14T16:55:29Z | |
dc.date.accessioned | 2023-07-13T09:53:28Z | |
dc.date.available | 2021-06-14T16:55:29Z | |
dc.date.available | 2023-07-13T09:53:28Z | |
dc.date.issued | 2000-10 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14342/2992 | |
dc.description.abstract | 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. | eng |
dc.format.extent | 10 p. | cat |
dc.language.iso | eng | cat |
dc.publisher | 3r Congrés Català d'Intel·ligència Artificial, Vilanova i la Geltrú, del 5-7 d'octubre 2000 | cat |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights | © ACIA | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | RECERCAT (Dipòsit de la Recerca de Catalunya) | |
dc.subject.other | Raonament basat en casos | cat |
dc.subject.other | Aprenentatge automàtic | cat |
dc.title | BASTIAN: incorporating the Rough Sets theory into a Case-Bases Classifier System | cat |
dc.type | info:eu-repo/semantics/conferenceObject | cat |
dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
dc.embargo.terms | cap | cat |
dc.subject.udc | 004 | |
dc.subject.udc | 62 | |