3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning

3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2022.

Бібліографічні деталі
Автор: Ahasan, Md Rakibul
Інші автори: Alam, Md. Golam Robiul
Формат: Дисертація
Мова:English
Опубліковано: Brac University 2022
Предмети:
Anomaly detection
Supervised learning
KPI
Mobile Networks
SMOTE
Unsupervised learning
K-Means
DBSCAN
HDBSCAN
Autoencoder
Algorithms
Computer network architectures
Онлайн доступ:http://hdl.handle.net/10361/17164

Інтернет

http://hdl.handle.net/10361/17164

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