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dc.contributor.authorKhan, M.J.*
dc.contributor.authorHayat, H.*
dc.contributor.authorAwan, Irfan U.*
dc.date.accessioned2019-03-22T13:44:07Z
dc.date.available2019-03-22T13:44:07Z
dc.date.issued2019
dc.identifier.citationKhan MJ, Hayat H and Awan I (2019) Hybrid case‑base maintenance approach for modeling large scale case‑based reasoning systems. Human-centric Computing and Information Sciences. 9(9)en_US
dc.identifier.urihttp://hdl.handle.net/10454/16909
dc.descriptionYesen_US
dc.description.abstractCase-based reasoning (CBR) is a nature inspired paradigm of machine learning capable to continuously learn from the past experience. Each newly solved problem and its corresponding solution is retained in its central knowledge repository called case-base. Withρ the regular use of the CBR system, the case-base cardinality keeps on growing. It results into performance bottleneck as the number of comparisons of each new problem with the existing problems also increases with the case-base growth. To address this performance bottleneck, different case-base maintenance (CBM) strategies are used so that the growth of the case-base is controlled without compromising on the utility of knowledge maintained in the case-base. This research work presents a hybrid case-base maintenance approach which equally utilizes the benefits of case addition as well as case deletion strategies to maintain the case-base in online and offline modes respectively. The proposed maintenance method has been evaluated using a simulated model of autonomic forest fire application and its performance has been compared with the existing approaches on a large case-base of the simulated case study.en_US
dc.description.sponsorshipAuthors acknowledge the internal funding support received from Namal College Mianwali to complete the research work.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1186/s13673-019-0171-zen_US
dc.rights© 2019 Springer. This work is licensed under a Creative Commons Attribution 4.0 International License. http://creativecommons.org/licenses/by/4.0/en_US
dc.subjectCase-based reasoningen_US
dc.subjectLazy machine learningen_US
dc.subjectSoft-computingen_US
dc.subjectCase-base maintenanceen_US
dc.titleHybrid case‑base maintenance approach for modeling large scale case‑based reasoning systemsen_US
dc.status.refereedYesen_US
dc.typeArticleen_US
dc.type.versionPublished versionen_US
refterms.dateFOA2019-03-22T13:44:07Z


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