Finding K Most Significant Motifs in Big Time Series Data
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference22 articles.
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4. Chiu B., Keogh E., Lonardi S. Probabilistic Discovery of Time Series Motifs, Proceedings of the Ninth ACM SIGKDD (2003)
5. Lin, J., Keogh, E., Li, W., Lonardi, S. Experiencing SAX: A Novel Symbolic Representation of Time Series in Data Mining and Knowledge Discovery Journal (2007)
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