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IEEE/ICACT20240049 Slide.17        [Big Slide]	Oral Presentation
	In this paper, we propose a "Multivariate PCA based Composite Criteria Evaluation Method" using the Principal Component Analysis algorithm and two statistical techniques, Hotelling T2 control chart and Box-Pierce test. This method can analyze unlabeled time series data to detect anomalies based on unsupervised learning.

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