Researchers review deep learning-based methods to detect time series data anomaly

Monitoring financial security, industrial safety, medical conditions, climate, and pollution require analysis of large volumes of time series data. A crucial step in this analysis involves identification of unusual points, patterns, or events that deviate from a dataset. This is known as "anomaly detection" and is performed using data mining techniques.

from News on Artificial Intelligence and Machine Learning https://ift.tt/p9Sj1QL

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