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...

詳細記述

書誌詳細

出版年:	IEEE Transactions on information technology in biomedicine 10, 3 (2006).
第一著者:	Keogh, E.
フォーマット:	論文
言語:	English
主題:	Anomaly detection algorithm. Electrocardiogram. Medical datasets. Medical time-series subsequences algorithm. Time series data mining. Time series discord.