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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Riaño, David | - |
dc.contributor.author | Cortés, Ulises | - |
dc.date.accessioned | 2013-04-08T19:25:59Z | - |
dc.date.available | 2013-04-08T19:25:59Z | - |
dc.date.issued | 1997-12-15 | - |
dc.identifier.citation | Revista Computación y Sistemas; Vol. 1 No. 2 | es |
dc.identifier.issn | 1405-5546 | - |
dc.identifier.uri | http://www.repositoriodigital.ipn.mx/handle/123456789/14922 | - |
dc.description.abstract | Abstract. In this paper we discuss our approach to learning c1assification rules from data. We sketch out two modules ofour architecture, namely LINNEO+ and GAR.LINNEO+, which is a knowledge acquisition tool for ill-structured domains automatically generating cJasses from examples that incrementally works with an unsupervised strategy. LINNEO+'s output, a representation of the conceptual structure ofthe domain in terms of cJasses, is the input to GAR that is used to generate a set of classification rules for the original training set. GAR can generate both conjuctive and disjunctive rules. Herein we present an application of these techniques to data obtained from a real wastewater treatment plant in order to help the construction of a rule base. This rule wilJ be used for a knowledge-based system that aims to supervise the whole process, | es |
dc.description.sponsorship | Instituto Politécnico Nacional - Centro de Investigación en Computación (CIC). | es |
dc.language.iso | en_US | es |
dc.publisher | Revista Computación y Sistemas; Vol. 1 No. 2 | es |
dc.title | Rule Generation and Compactation in the WWTP | es |
dc.type | Article | es |
dc.description.especialidad | Investigación en Computación | es |
dc.description.tipo | es | |
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