Deep learning based anomaly detection in time-series data
Anomaly detection, also called outlier detection, on the multivariate time-series data is applicable to multiple domains. With the proliferation of deep learning-based methods, we aim to leverage on them to tackle anomaly detection, mainly on the field of industry data (server machines and spacecraf...
Main Author: | Zeng, Jinpo |
---|---|
Other Authors: | A S Madhukumar |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/137949 |
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