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K. Lin J., E., Patel, P. and Lonardi, S., Finding Motifs in Time Series, presented at In the 2nd Workshop on Temporal Data Mining, at the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada, 2002.
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B. Chiu, E. Keogh, and S. Lonardi, Probabilistic Discovery of Time Series Motifs, presented at In Proceedings of the 9th International Conference on Knowledge Discovery and Data mining, Washington, D.C., 2003.
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M. Vlachos, G. Kollios, and D. Gunopulos, Discovering similar multidimensional trajectories, presented at proceedings 18th International Conference on Data Engineering, 2002.
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E. Keogh. http://www.cs.ucr.edu/~eamonn/selected_publications.htm.
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K.-I. L. G. Das, H. Mannila, G. Renganathan, and P. Smyth, Rule discovery from time series, presented at The 4th International Conference of Knowledge Discovery and Data Mining, 1998.
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13
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50949108070
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E. Keogh and M. Pazzani, An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback, presented at proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, New York, 1998.
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E. Keogh and M. Pazzani, An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback, presented at proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, New York, 1998.
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W. Kadous. http://www.cse.unsw.edu.au/~waleed/phd/html/node119.html.
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W. Kadous. http://www.cse.unsw.edu.au/~waleed/phd/html/node119.html.
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R.J. Hyndman. http://www-personal.buseco.monash.edu.au/~hyndman/TSDL/.
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