Applying graph neural network to multivariate time series anomaly detection
The proliferation of data collection methods and technologies has underscored the importance and potential of data across various domains. Time series data, characterized by high dimensions and large volumes, serves as a valuable source for pattern discovery and information extraction in diverse fie...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175247 |