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Customer segmentation and churn prediction via customer metrics
(IEEE, 2022)
Bu çalışmada faktoring sektöründe faaliyet gösteren müşterilerin geçmişte yapmış oldukları işlem hareketleri ve sahip oldukları risk, limit ve şirket verileri üzerinden, son işlem tarihlerinden sonra gelecek üç ay içerisinde ...
Segmentation for factoring customers: using unsupervised machine learning algorithms
(IEEE, 2023)
Nowadays the fact that technology facilitates data collection is an important opportunity, as well as making the management of all this data difficult and makes no sense unless it is well processed. This stored data is ...
Fault detection model using measurement data in fiber optic internet lines
(IEEE, 2023)
In this study, a model has been developed to predict potential faults in advance based on performance metrics of various fiber-optic internet lines, as well as alarm (fault data) and performance measurement values from the ...