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dc.contributor.authorJuarez, Jose M.
dc.contributor.authorCraw, Susan
dc.contributor.authorLopez-Delgado, J. Ricardo
dc.contributor.authorCampos, Manuel
dc.date.accessioned2018-06-19T11:08:30Z
dc.date.available2018-06-19T11:08:30Z
dc.date.issued2018-07-13en
dc.identifier.citationJUAREZ, J.M., CRAW, S., LOPEZ-DELGADO, J.R. and CAMPOS, M. 2018. Maintenance of case bases: current algorithms after fifty years. In Lang, J. (ed.) Proceedings of the 27th International joint conference on artificial intelligence (IJCAI-18), 13-19 July 2018, Stockholm, Sweden. Freiburg: IJCAI [online], pages 5457-5463. Available from: https://doi.org/10.24963/ijcai.2018/770en
dc.identifier.isbn9780999241127
dc.identifier.issn1045-0823en
dc.identifier.urihttp://hdl.handle.net/10059/2956
dc.descriptionPresentation slides PDF
dc.description.abstractCase-Based Reasoning (CBR) learns new knowledge from data and so can cope with changing environments. CBR is very different from modelbased 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.en
dc.language.isoengen
dc.publisherInternational Joint Conferences on Artificial Intelligenceen
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0en
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectCase-based reasoningen
dc.subjectCBRen
dc.subjectCase-based maintenanceen
dc.subjectAlgorithmsen
dc.titleMaintenance of case bases: current algorithms after fifty years.en
dc.typeConference publicationsen
dc.publisher.urihttps://doi.org/10.24963/ijcai.2018/770
dc.publisher.urihttp://www.ijcai.org
dcterms.dateAccepted2018-05-18en
dcterms.publicationdate2018-07-19
refterms.accessExceptionNAen
refterms.dateDeposit2018-06-19en
refterms.dateFCA2018-06-19en
refterms.dateFCD2018-06-19en
refterms.dateFreeToDownload2018-06-19en
refterms.dateFreeToRead2018-06-19en
refterms.dateToSearch2018-06-19en
refterms.depositExceptionNAen
refterms.panelBen
refterms.technicalExceptionNAen
refterms.versionAMen
rioxxterms.publicationdate2018-07-13en
rioxxterms.typeConference Paper/Proceeding/Abstracten
rioxxterms.versionAMen


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