Classification of household users using information technologies based on c5.0 algorithm

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dc.authorid0000-0002-9535-4527en_US
dc.contributor.authorTuranlı, Münevver
dc.contributor.authorTeksin, Güner Gözde
dc.date.accessioned2019-10-24T12:11:08Z
dc.date.available2019-10-24T12:11:08Z
dc.date.issued2018en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractThe use of machine learning and decision tree methods with respect to modelling of big data has been increasing gradually. The data mining has focused on some methods for obtaining the useful information from big data which has not been recognized. The data mining and statistics concentrates upon the identification of structure. The concept of machine learning which evolved out of data mining as a need consists of models and algorithms which analyzes big data and may make significant deductions from data by benefitting from statistics and software. It provides convenience to modelling the big data that the decision tree methods are nonparametric methods. In this paper, the classification tree was created based on C5.0 algorithm by using R programming language.en_US
dc.identifier.doi10.15604/ejbm.2018.06.02.004en_US
dc.identifier.endpage47en_US
dc.identifier.issue2en_US
dc.identifier.startpage33en_US
dc.identifier.urihttps://hdl.handle.net/11467/3068
dc.identifier.urihttps://doi.org/10.15604/ejbm.2018.06.02.004
dc.identifier.volume6en_US
dc.language.isoenen_US
dc.publisherEurasian Publicationsen_US
dc.relation.ispartofEurasian Journal of Business and Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBig Dataen_US
dc.subjectData Miningen_US
dc.subjectMachine Learningen_US
dc.subjectDecision Treesen_US
dc.subjectClassification Treeen_US
dc.subjectC5.0 Algorithmen_US
dc.subjectCookiesen_US
dc.titleClassification of household users using information technologies based on c5.0 algorithmen_US
dc.typeArticleen_US

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