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Online Conditional Outlier Detection in Nonstationary Time Series
The objective of this work is to develop methods for detecting outliers in time series data. Such methods can become the key component of various monitoring and alerting systems, where an outlier may be equal to some adverse condition that needs human attention. However, real-world time series are o...
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| Опубликовано в: : | Proc Int Fla AI Res Soc Conf |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5891145/ https://ncbi.nlm.nih.gov/pubmed/29644345 |
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