Eamonn Keogh, Jessica Lin, Ada Fu

This webpage provides some extra details about time series discords. The first paper on time series discords was:

E. Keogh, J. Lin and A. Fu (2005). HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. In The Fifth IEEE International Conference on Data Mining.



Important note: the figure numbers listed below point to the figures in the longer version of the paper.

You can obtain all the above datasets, plus hundreds more by requesting a free CD-rom from the UCR Time Series Data Mining Archive.