A new classifier based on attribute weighted artificial immune system (AWAIS)

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dc.contributor.authorSahan, S
dc.contributor.authorKodaz, H
dc.contributor.authorGunes, S
dc.contributor.authorPolat, K
dc.date.accessioned2020-03-26T16:47:40Z
dc.date.available2020-03-26T16:47:40Z
dc.date.issued2004
dc.departmentSelçuk Üniversitesien_US
dc.description19th International Symposium on Computer and Information Sciences (ISCIS 2004) -- OCT 27-29, 2004 -- Kemer Antalya, TURKEYen_US
dc.description.abstract'Curse of Dimensionality' problem in shape-space representation which is used in many network-based Artificial Immune Systems (AISs) affects classification performance at a high degree. In this paper, to increase classification accuracy, it is aimed to minimize the effect of this problem by developing an Attribute Weighted Artificial Immune System (AWAIS). To evaluate the performance of proposed system, aiNet, an algorithm that have a considerably important place among network-based AIS algorithms, was used for comparison with our developed algorithm. Two artificial data sets used in aiNet, Two-spirals data set and Chainlink data set were applied in the performance analyses, which led the results of classification performance by means of represented network units to be higher than aiNet. Furthermore, to evaluate performance of the algorithm in a real world application, wine data set that taken from UCI Machine Learning Repository is used. For the artificial data sets, proposed system reached 100% classification accuracy with only a few numbers of network units and for the real world data set, wine data set, the algorithm obtained 98.23% classification accuracy which is very satisfying result if it is considered that the maximum classification accuracy obtained with other systems is 98.9%.en_US
dc.description.sponsorshipBilkent Univ, Dept Comp Engn, Inst Elect & Elect Engineers Turkey Sect, Working Grp, Int Federat Informat Proc, Sci & Tech Res Council Turkeyen_US
dc.identifier.endpage20en_US
dc.identifier.isbn3-540-23526-4
dc.identifier.issn0302-9743en_US
dc.identifier.issn1611-3349en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage11en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/18917
dc.identifier.volume3280en_US
dc.identifier.wosWOS:000225096700002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER-VERLAG BERLINen_US
dc.relation.ispartofCOMPUTER AND INFORMATION SCIENCES - ISCIS 2004, PROCEEDINGSen_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleA new classifier based on attribute weighted artificial immune system (AWAIS)en_US
dc.typeConference Objecten_US

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