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dc.contributor.advisorAksoy, M. Sabih
dc.contributor.authorKarli, Günay
dc.date.accessioned2021-05-07T11:40:29Z
dc.date.available2021-05-07T11:40:29Z
dc.date.submitted2000
dc.date.issued2021-02-16
dc.identifier.urihttps://acikbilim.yok.gov.tr/handle/20.500.12812/616184
dc.description.abstractoz Bu çalışmada, etkili tümevanmsal yöntemlerinden olan Rules-3 DNA dizilerinin analizinde kullanıldı. Deneylerde Rules-3 nin farklı seçeneklerine yer verildi. Deneysel sonuçlara göre, daha önceden görülmemiş örneklerin tanınmasında diğer iyi bilinen algoritmalarla karşılaştmlabilinir olduğu görülmüştür.
dc.description.abstractIV ABSTRACT In this study, Rules-3, which is one of the effective rule induction algorithm, was used to analys to DNA sequence. In the experiments, different option of Rules-3 were used, and according to the amprical comparisons, the algorithm appeared to be comparable to well- known algorithms in terms of the accuracy of the extracted rule in classifying unseen data. A detail literature survey on application of inductive learning techniques to DNA sequence analysis was also conducted and review of the related work from the literature was prapered.en_US
dc.languageEnglish
dc.language.isoen
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rightsAttribution 4.0 United Statestr_TR
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontroltr_TR
dc.subjectComputer Engineering and Computer Science and Controlen_US
dc.titleApplication of rule indiction algorithms to DNA sequence analysis
dc.typemasterThesis
dc.date.updated2021-02-16
dc.contributor.departmentBilgisayar Mühendisliği Ana Bilim Dalı
dc.subject.ytmAnalysis
dc.subject.ytmDNA
dc.identifier.yokid104168
dc.publisher.instituteFen Bilimleri Enstitüsü
dc.publisher.universityFATİH ÜNİVERSİTESİ
dc.identifier.thesisid97735
dc.description.pages43
dc.publisher.disciplineDiğer


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