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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 ...
High-performance real-time data processing: managing data using Debezium, Postgres, Kafka, and Redis
(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 ...
Analytical approaches in customer relationship management
(IEEE, 2023)
This study examines the impact of analytical customer relationship management (aCRM) strategies, specifically the segmentation approach using RFM analysis and artificial learning methods, on customer satisfaction, revenue ...
GRAFRAUD: Fraud detection using graph databases and neural networks
(IEEE, 2023)
The issue of fraud has become a significant concern for many companies, particularly in the finance sector, but the traditional methods of detecting fraud are no longer adequate. Innovative technologies are necessary to ...
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 ...
