Browsing by Author "Ertuğrul, Seyit"
Now showing items 1-5 of 5
-
Customer segmentation and churn prediction via customer metrics
Çakar, Tuna; Bozkan, Tunahan; Sayar, Alperen; Ertuğrul, Seyit (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 ... -
High-performance real-time data processing: managing data using Debezium, Postgres, Kafka, and Redis
Sayar, Alperen; Arslan, Şuayip; Çakar, Tuna; Ertuğrul, Seyit; Akçay, Ahmet (IEEE, 2023)This research focuses on monitoring and transferring logs of operations performed on a relational database, specifically PostgreSQL, in real-time using an event-driven approach. The logs generated from database operations ... -
Prediction of Loan Decisions with Optical Neuroimaging (fNIRS) and Machine Learning
Çakar, Tuna; Son Turan, Semen; Sayar, Alperen; Girişken, Yener; Ertuğrul, Seyit (IEEE, 2023)The successful applications of neuroscientific methods and artificial learning approaches have increased in applied fields such as economics, marketing, and finance in the last decade. In this study, a prediction model was ... -
Segmentation for factoring customers: using unsupervised machine learning algorithms
Ayyıldız, Nur Seher; Akçay, Ahmet; Yalçuva, Berat; Sayar, Alperen; Ertuğrul, Seyit; Çakar, Tuna (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 ... -
Transaction Volume Estimation in Financial Markets with LSTM
Bozkan, Tunahan; Sayar, Alperen; Ertuğrul, Seyit; Çakar, Tuna; Akçay, Ahmet (IEEE, 2023)In this study, it was aimed to determine the transaction volume that will be encountered in the future (hourly) in the factoring sector, and then to take financial and operational action early. For the study, the LSTM ...
