Finding Unusual Medical Time-Series Subsequences Algorithms and Applications.

In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of longer time series that are maximally different to all the rest of the time series subsequences. They thus capture the sense of the most unusual subsequence within a time series. Whil...

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Bibliographic Details

Published in:	IEEE Transactions on information technology in biomedicine 10, 3 (2006).
Main Author:	Keogh, E.
Format:	Article
Language:	English
Subjects:	Anomaly detection algorithm. Electrocardiogram. Medical datasets. Medical time-series subsequences algorithm. Time series data mining. Time series discord.