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pro vyhledávání: '"Orkun Susuz"'
Autor:
Selçuk BAYRACI, Orkun SUSUZ
Publikováno v:
Theoretical and Applied Economics, Vol XXVI, Iss 4, Pp 75-84 (2019)
In this study, we applied a Deep Neural Networks (DNN) based classification model along with the conventional classification methods (Logistic Regression, Decision Tree, Naïve Bayes and Support Vector Machines) on a two distinct datasets containing
Externí odkaz:
https://doaj.org/article/278dcf4faec04f29942d89f6c7f27200
Publikováno v:
BigComp
In today’s competitive business environment, companies aim to retain their existing customers. To achieve that, churn prediction is crucial. Predicting churning customers is not a simple task. It is even more challenging in the fast-food industry s
Publikováno v:
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
It is an era where customer clustering is crucial for a competitive business environment. By being smarter about marketing and sales activities, placing customers at the centre of strategic plans is essential for business growth. Clustering customers
Publikováno v:
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
Companies aim to keep their current clients in today’s dynamic market climate. Churn prediction is essential in order to accomplish that. It is not a straight forward task to predict churning consumers. In the fast-food industry, it is even more di
Autor:
Orkun Susuz, Gurkan Sahin
Publikováno v:
SIU
Iris-sclera biometry is one of the features that yields high accuracy in user recognition and liveness detection systems. In this study, segmentation processes the first stage of an iris-sclera user verification system have been considered. Tradition
Publikováno v:
SIU
Banks are closely monitored by supervisory institutions because of the size and importance of the banking sector. One of the most important risks affecting the banking sector is the concept of credit risk. The banks try to make sure that the customer