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Agarwal et al., 2022 - Google Patents

Real-time anomaly detection in epidemic data streams

Agarwal et al., 2022

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Document ID
1025832904942393564
Author
Agarwal P
Aluru P
Prakash B
Publication year
Publication venue
epiDAMIK 5.0: The 5th International workshop on Epidemiology meets Data Mining and Knowledge discovery at KDD 2022

External Links

Snippet

A key challenge with data collection for time-series data for forecasting is detecting anomalies in real-time. Anomalies can negatively affect the performance of forecasting models, if not accounted for. It is a relatively simple process to retrospectively identify an …
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Classifications

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    • G—PHYSICS
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