Market basket analysis developed on the refrigerator control system with machine learning algorithms In data mining applications

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dc.authorid0000-0003-2030-2981en_US
dc.contributor.authorOğuzay, Engin
dc.date.accessioned2024-07-12T20:49:26Z
dc.date.available2024-07-12T20:49:26Z
dc.date.issued2019en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractThe purpose of this study was to analyze the basket basket developed by using machine mining algorithms by using data mining data. Another objective of this study is to find out the critical level in the system by developing a refrigerator control system software application and algorithm using forecasting modeling and machine learning method; and the estimated frequency of consumption. An internet-based simulated application software, written in Visual Studio C#, was developed to interpret data and display the results on the web. The rules of association have been applied to the application software and the data in the database. The data in the refrigerator can be accessed from any location by mobile phone and the current situation can be learned. In this study, it is aimed to develop a model from the data whose results are known with the application developed with the predictive model of data mining models and to estimate the result values for the data sets whose results are unknown. In market basket analysis and association rule; It is aimed to determine the buying habits of customers by finding association-relationship ties between the products that customers purchase during shopping.en_US
dc.identifier.citationOğuzay, E. (2019). Market basket analysis developed on the refrigerator control system with machine learning algorithms In data mining applications. International Conference of Mathematical Sciences (ICMS 2019). s. 147.en_US
dc.identifier.endpage148en_US
dc.identifier.isbn978-605-2124-29-1
dc.identifier.startpage147en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2171
dc.institutionauthorOğuzay, Engin
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciences (ICMS 2019)en_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY01536
dc.subjectMachine learningen_US
dc.subjectAssociation rulesen_US
dc.subjectMarket basket analysisen_US
dc.subjectData miningen_US
dc.subjectRefrigerator control systemen_US
dc.titleMarket basket analysis developed on the refrigerator control system with machine learning algorithms In data mining applicationsen_US
dc.typeArticle
dspace.entity.typePublication

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