Class imbalance learning for network fault prediction

The quality of internet connection is important in our daily life as people are becoming more dependent on it. To reduce internet connection problems, internet service providers (ISP) are proactively predicting and identifying network faults before it occurs. One of the network fault prediction meth...

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Bibliographic Details
Main Author: Kok, Leonard Jin Yin
Format: Thesis
Published: 2020
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