time-series-20
Anomaly Forecasting
3260 papers • 126 benchmarks • 313 datasets
Anomaly forecasting is a critical aspect of modern data analysis, where the goal is to predict unusual patterns or behaviors in data sets that deviate from the norm. This process is vital across various fields, such as finance, cybersecurity, healthcare, and manufacturing, to preemptively identify and mitigate potential issues.
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