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.

Sonraí bibleagrafaíochta
Príomhchruthaitheoir:	Ahasan, Md Rakibul
Rannpháirtithe:	Alam, Md. Golam Robiul
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2022
Ábhair:	Anomaly detection Supervised learning KPI Mobile Networks SMOTE Unsupervised learning K-Means DBSCAN HDBSCAN Autoencoder Algorithms Computer network architectures
Rochtain ar líne:	http://hdl.handle.net/10361/17164

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