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IEEE INTELLIGENT SYSTEMS (2009)
Experiencing SAX: a novel symbolic representation of time series
Jessica Lin et al.
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Norbert Marwan et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2007)