Authors
Jessica Lin, Eamonn Keogh, Ada Fu, Helga Van Herle
Publication date
2005/6/23
Conference
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)
Pages
329-334
Publisher
IEEE
Description
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. While the brute force algorithm to discover time series discords is quadratic in the length of the time series, we show a simple algorithm that is 3 to 4 orders of magnitude faster than brute force, while guaranteed to produce identical results.
Total citations
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Scholar articles
J Lin, E Keogh, A Fu, H Van Herle - 18th IEEE Symposium on Computer-Based Medical …, 2005