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Developing machine learning methods for network anomaly detection
(Abdullah Gül Üniversitesi, 2018)
Machine learning refers to training of a computer (machine) to be able to acquire knowledge from data (i.e. experience) and improve itself on a given task. The field of machine learning has become a mainstream, improving ...
A novel approach based on bagging and boosting for imbalanced classification problems
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
Classification algorithms are employed in a wide range of real-world problems such as
obstacle detection, fraud detection, medical diagnosis, spam detection, speech
recognition, image processing, intrusion detection, and ...