Comparison of open source data mining tools: Naive Bayes algorithm example

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dc.authorscopusid57209731075
dc.authorscopusid57209741151
dc.authorscopusid57209737860
dc.authorscopusid56007981300
dc.contributor.authorÖzkan, S. B.
dc.contributor.authorApaydin, S. M. F.
dc.contributor.authorÖzkan, Y.
dc.contributor.authorDüzdar, I.
dc.date.accessioned2021-12-01T18:38:50Z
dc.date.available2021-12-01T18:38:50Z
dc.date.issued2019
dc.department[Belirlenecek]en_US
dc.description2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019 -- 24 April 2019 through 26 April 2019 -- -- 148870en_US
dc.description.abstractData Mining is a set of processes that use many disciplines together in the process of analyzing large data. It is the concept of data mining that combines computer technologies, statistical analysis techniques, database technologies and many disciplines. There are many commercial and open source programs to implement Data Mining applications. In this study, open source data mining programs WEKA, Orange, Knime is described. A sample is analyzed with the classification algorithm in all of these programs. In this study, it was aimed to determine the difference between these 3 open source Data Mining programs with Naive Bayes classification algorithm by taking Bay iris, breast cancer, wine, monk, balance es data sets from UCI Machine Learning Repository database. With this study, there are suggestions for making comparisons according to the outputs from the programs. © 2019 IEEE.en_US
dc.identifier.doi10.1109/EBBT.2019.8741664
dc.identifier.isbn9781728110134
dc.identifier.scopus2-s2.0-85068578919en_US
dc.identifier.urihttps://doi.org/10.1109/EBBT.2019.8741664
dc.identifier.urihttps://hdl.handle.net/20.500.12684/9862
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassification Analysisen_US
dc.subjectData Miningen_US
dc.subjectNaive Bayesen_US
dc.titleComparison of open source data mining tools: Naive Bayes algorithm exampleen_US
dc.typeConference Objecten_US

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