Unsupervised Anomaly Detection and Root Cause Analysis in HFC Networks : A Clustering Approach

Unsupervised Anomaly Detection and Root Cause Analysis in HFC Networks : A Clustering Approach

Following the significant transition from the traditional production industry to an informationbased economy, the telecommunications industry was faced with an explosion of innovation, resulting in a continuous change in user behaviour. The industry has made efforts to adapt to a more datadriven fut...

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Bibliographic Details
Main Author: Forsare Källman, Povel
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Anomaly Detection
Root Cause Analysis
Cluster Analysis
k- means
Self- Organizing Map
Gaussian Mixture Model
Dimensionality Reduction
Principal Component Analysis
Hybrid Fiber- Coaxial Network.
Anomalidetektering
Rotfelsanalys
Klusteranalys
Dimensionsreducering
Hybrid Fiber Coax- nät.
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305061

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305061

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