Market basket analysis developed on the refrigerator control system with machine learning algorithms In data mining applications
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Maltepe Üniversitesi
Erişim Hakkı
CC0 1.0 Universal
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Özet
The 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.
Açıklama
Anahtar Kelimeler
Machine learning, Association rules, Market basket analysis, Data mining, Refrigerator control system
Kaynak
International Conference of Mathematical Sciences (ICMS 2019)
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Oğuzay, 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.
