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