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- W2113271473 abstract "Our goal is to generate comprehensible and accurate models from multiple time series for anomaly detection. The models need to produce anomaly scores in an online manner for real-life monitoring tasks. We introduce three algorithms that work in a constructed feature space and evaluate them with a real data set from the NASA shuttle program. Our offline and online evaluations indicate that our algorithms can be more accurate than two existing algorithms." @default.
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- W2113271473 date "2006-01-05" @default.
- W2113271473 modified "2023-10-16" @default.
- W2113271473 title "Modeling Multiple Time Series for Anomaly Detection" @default.
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- W2113271473 doi "https://doi.org/10.1109/icdm.2005.101" @default.
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