Por favor, use este identificador para citar o enlazar este ítem: 10.24963/ijcai.2018/770

Título: Maintenance of Case Bases: Current Algorithms after Fifty Years
Fecha de publicación: 2018
Cita bibliográfica: International Joint Conferences on Artificial Intelligence Organization, 2018
Materias relacionadas: CDU::0 - Generalidades.::00 - Ciencia y conocimiento. Investigación. Cultura. Humanidades.::004 - Ciencia y tecnología de los ordenadores. Informática.
Palabras clave: Case-based reasoning; Case-base maintenance
Resumen: Case-Based Reasoning (CBR) learns new knowledge from data and so can cope with changing environments. CBR is very different from model based systems since it can learn incrementally as new data is available, storing new cases in its casebase. This means that it can benefit from readily available new data, but also case-base maintenance (CBM) is essential to manage the cases, deleting and compacting the case-base. In the 50th anniversary of CNN (considered the first CBM algorithm), new CBM methods are proposed to deal with the new requirements of Big Data scenarios. In this paper, we present an accessible historic perspective of CBM and we classify and analyse the most recent approaches to deal with these requirements.
Autor/es principal/es: Juarez, Jose M.
Craw, Susan
Lopez-Delgado, J. Ricardo
Campos, Manuel
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Facultades de la UMU::Facultad de Informática
Publicado en: Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18
Versión del editor: https://www.ijcai.org/Proceedings/2018/770
URI: http://hdl.handle.net/10201/107022
DOI: 10.24963/ijcai.2018/770
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 7
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Descripción: © <2018>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Accepted Manuscript version of a Published Work that appeared in final form in [International Joint Conferences on Artificial Intelligence Organization]. To access the final edited and published work see [https://doi.org/10.24963/ijcai.2018/770]
Aparece en las colecciones:Artículos: Ingeniería de la Información y las Comunicaciones

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