Applying graph neural network to multivariate time series anomaly detection

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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Bibliographic Details
Main Author:	Mao, Yiyun
Other Authors:	Jagath C Rajapakse
Format:	Final Year Project (FYP)
Language:	English
Published:	Nanyang Technological University 2024
Subjects:	Computer and Information Science
Online Access:	https://hdl.handle.net/10356/175247

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