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Re:Clustering of Time Series Subsequences Is Meaningless (20... by datahipster on Friday April 10, 2015 @11:40AM (#9355038)
This is pretty much the main idea behind another paper that Eamonn wrote [0]. The idea is that you can normalize and discretize timeseries data into a lecicographical representation, then perform all sorts of interests analyses on it. For example, searching for common subsequences can be done via regular expressions.

[0] http://www.cs.ucr.edu/~eamonn/iSAX.pdf

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