Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1487
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dc.contributor.authorUzbaş, Betül-
dc.contributor.authorArslan, Ahmet-
dc.date.accessioned2021-12-13T10:41:25Z-
dc.date.available2021-12-13T10:41:25Z-
dc.date.issued2020-
dc.identifier.isbn978-3-030-36178-5; 978-3-030-36177-8-
dc.identifier.issn2367-4512-
dc.identifier.urihttps://doi.org/10.1007/978-3-030-36178-5_3-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1487-
dc.descriptionInternational Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEYen_US
dc.description.abstractK2 is an algorithm used for learning the structure of a Bayesian networks (BN). The performance of the K2 algorithm depends on the order of the variables. If the given ordering is not sufficient, the score of the network structure is found to be low. We proposed a new variable ordering method in order to find the hierarchy of the variables. The proposed method was compared with other methods by using synthetic and real-world data sets. Experimental results show that the proposed method is efficient in terms of both time and score.en_US
dc.language.isoenen_US
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AGen_US
dc.relation.ispartofARTIFICIAL INTELLIGENCE AND APPLIED MATHEMATICS IN ENGINEERING PROBLEMSen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNETWORKSen_US
dc.titleA New Variable Ordering Method for the K2 Algorithmen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1007/978-3-030-36178-5_3-
dc.identifier.scopus2-s2.0-85083433757en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.authorwosidUzbas, Betul/AAM-2345-2020-
dc.identifier.volume43en_US
dc.identifier.startpage25en_US
dc.identifier.endpage34en_US
dc.identifier.wosWOS:000678771000003en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid57201915831-
dc.authorscopusid56919273700-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
crisitem.author.dept02.03. Department of Computer Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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