Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

Volume: 7, Pages: 65579 - 65615
Published: May 14, 2019
Abstract
While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning. Recently, there has been a rising trend of employing unsupervised machine learning using unstructured raw network data to improve network performance and provide services, such as traffic engineering, anomaly detection, Internet traffic classification, and quality of service optimization....
Paper Details
Title
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
Published Date
May 14, 2019
Volume
7
Pages
65579 - 65615
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