Now showing items 1-4 of 4
Classification and detection of various geographical features from satellite imagery
(International University of Sarajevo, 2018)
It is a challenging task to classify and detect various geographical features from the satellite imagery of the Earth as well as the celestial bodies. This paper puts forward several pixel based classification algorithms ...
Using support vector machine for the prediction of unpaid credit card debts
(Springer Verlag, 2020)
Customer behavior prediction is gaining more importance in the banking sector like in any other sector recently. This study aims to propose a model to predict whether credit card users will pay their debts or not. Using ...
Improving customer experience for an internet service provider: a neural networks approach
Today one of the challenges of companies is to decrease call center costs while improving the customer experience. In this study, we make prediction and proactively take action in order to solve customer problems before ...
Predicting the success of ensemble algorithms in the banking sector
(Igi Global, 2019)
The banking sector, like other service sector, improves in accordance with the customer's needs. Therefore, to know the needs of customers and to predict customer behaviors are very important for competition in the banking ...