TrieMotif — A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series
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Daniel Yoshinobu Takada Chino, Renata Ribeiro do Valle Gonçalves, Luciana A. S. Romani, Caetano Traina Jr., Agma J. M. Traina
TrieMotif — A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series
ICEIS, 2014.

ICEIS v1 2014
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@inproceedings{ICEIS-v1-2014-ChinoGRTT,
	author        = "Daniel Yoshinobu Takada Chino and Renata Ribeiro do Valle Gonçalves and Luciana A. S. Romani and Caetano Traina Jr. and Agma J. M. Traina",
	booktitle     = "{Proceedings of the 16th International Conference on Enterprise Information Systems, Volume 1}",
	doi           = "10.5220/0004891900600069",
	isbn          = "978-989-758-027-7",
	pages         = "60--69",
	publisher     = "{SciTePress}",
	title         = "{TrieMotif — A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series}",
	year          = 2014,
}

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