A New Variable Ordering Method for the K2 Algorithm

dc.contributor.author Uzbaş, Betül
dc.contributor.author Arslan, Ahmet
dc.date.accessioned 2021-12-13T10:41:25Z
dc.date.available 2021-12-13T10:41:25Z
dc.date.issued 2020
dc.description International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEY en_US
dc.description.abstract K2 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.identifier.doi 10.1007/978-3-030-36178-5_3
dc.identifier.isbn 978-3-030-36178-5; 978-3-030-36177-8
dc.identifier.issn 2367-4512
dc.identifier.scopus 2-s2.0-85083433757
dc.identifier.uri https://doi.org/10.1007/978-3-030-36178-5_3
dc.identifier.uri https://hdl.handle.net/20.500.13091/1487
dc.language.iso en en_US
dc.publisher SPRINGER INTERNATIONAL PUBLISHING AG en_US
dc.relation.ispartof ARTIFICIAL INTELLIGENCE AND APPLIED MATHEMATICS IN ENGINEERING PROBLEMS en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject NETWORKS en_US
dc.title A New Variable Ordering Method for the K2 Algorithm en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.scopusid 57201915831
gdc.author.scopusid 56919273700
gdc.author.wosid Uzbas, Betul/AAM-2345-2020
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gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
gdc.description.endpage 34 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q4
gdc.description.startpage 25 en_US
gdc.description.volume 43 en_US
gdc.description.wosquality N/A
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gdc.index.type Scopus
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gdc.oaire.popularity 1.3503004E-9
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gdc.virtual.author Uzbaş, Betül
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