Time-Series Motif
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A Time-Series Motif is a frequent set of similar (or identical) time series subsequences.
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- Counter-Example(s):
- See: Frequent Itemset Pattern, Time-Series Analysis, Time Series.
References
2009
- (Mueen et al., 2009) ⇒ Abdullah Mueen, Eamonn J. Keogh, and Nima Bigdely Shamlo. (2009). “Finding Time Series Motifs in Disk-Resident Data.” In: Proceedings of the Ninth IEEE International Conference on Data Mining (ICDM 2009). doi:10.1109/ICDM.2009.15
- QUOTE: Time series motifs are sets of very similar subsequences of a long time series.
2002
- (Patel et al., 2002) ⇒ Pranav Patel, Eamonn Keogh, Jessica Lin, and Stefano Lonardi. (2002). “Mining Motifs in Massive Time Series Databases.” In: Proceedings of ICDM Conference (ICDM 2002). doi:10.1109/ICDM.2002.1183925
2001
- Höppner, F. (2001). Discovery of temporal patterns -- learning rules about the qualitative behavior of time series. In: Proceedings of the 5th European Conference on Principles and Practice of Knowledge Discovery in Databases.
- Refers to them as: frequent patterns.
1998
- Das, G., Lin, K., Mannila, H., Renganathan, G. & Smyth, P. (1998). Rule discovery from time series. In: Proceedings of the 4th Int'l Conference on Knowledge Discovery and Data Mining. New York, NY, Aug 27-31. pp 16-22.
- Refers to them as: primitive shapes.