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Kamgar, Kaveh
10  Ergebnisse:
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1

Time series motifs discovery under DTW allows more robust d..:

Alaee, Sara ; Mercer, Ryan ; Kamgar, Kaveh.
Data Mining and Knowledge Discovery.  35 (2021)  3 - p. 863-910 , 2021
Link: https://doi.org/10.1007/..
 
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2

Matrix Profile XXII: Exact Discovery of Time Series Motifs ..:

, In: 2020 IEEE International Conference on Data Mining (ICDM),
Alaee, Sara ; Kamgar, Kaveh ; Keogh, Eamonn - p. 900-905 , 2020
Link: https://doi.org/10.1109/..
 
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3

The Swiss army knife of time series data mining: ten useful..:

Zhu, Yan ; Gharghabi, Shaghayegh ; Silva, Diego Furtado...
Data Mining and Knowledge Discovery.  34 (2020)  4 - p. 949-979 , 2020
Link: https://doi.org/10.1007/..
 
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4

Matrix Profile XV: Exploiting Time Series Consensus Motifs ..:

, In: 2019 IEEE International Conference on Data Mining (ICDM),
Kamgar, Kaveh ; Gharghabi, Shaghayegh ; Keogh, Eamonn - p. 1156-1161 , 2019
Link: https://doi.org/10.1109/..
 
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5

The UCR time series archive:

Dau, Hoang Anh ; Bagnall, Anthony ; Kamgar, Kaveh...
IEEE/CAA Journal of Automatica Sinica.  6 (2019)  6 - p. 1293-1305 , 2019
Link: https://doi.org/10.1109/..
 
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6

Matrix Profile XIV : Scaling Time Series Motif Discovery..:

, In: Proceedings of the ACM Symposium on Cloud Computing,
Zimmerman, Zachary ; Kamgar, Kaveh ; Senobari, Nader Shakibay... - p. 74-86 , 2019
Link: https://dl.acm.org/doi/1..
 
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7

Matrix Profile XXII: Exact Discovery of Time Series Motifs ..:

Alaee, Sara ; Kamgar, Kaveh ; Keogh, Eamonn
http://arxiv.org/abs/2009.07907.  , 2020
Link: http://arxiv.org/abs/200..
 
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8

The Swiss army knife of time series data mining: ten useful..:

Zhu, Yan ; Gharghabi, Shaghayegh ; Silva, Diego Furtado...
qt6rw5v40f.  , 2020
Link: https://escholarship.org..
 
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9

The UCR Time Series Archive:

Dau, Hoang Anh ; Bagnall, Anthony ; Kamgar, Kaveh...
http://arxiv.org/abs/1810.07758.  , 2018
Link: http://arxiv.org/abs/181..
 
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10

mtDNA from consensus motif paper:

Kaveh Kamgar ; Shaghayegh Gharghabi ; Eamonn Keogh
doi:10.5281/zenodo.4281198.  , 2019
Link: https://zenodo.org/recor..
 
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