Artikel dengan mandat akses publik - Hoang Anh DauPelajari lebih lanjut
Tersedia di suatu tempat: 8
Generating synthetic time series to augment sparse datasets
G Forestier, F Petitjean, HA Dau, GI Webb, E Keogh
2017 IEEE international conference on data mining (ICDM), 865-870, 2017
Mandat: US Department of Defense, Australian Research Council
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile
CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ...
Data Mining and Knowledge Discovery 32, 83-123, 2018
Mandat: US National Science Foundation
Optimizing dynamic time warping’s window width for time series data mining applications
HA Dau, DF Silva, F Petitjean, G Forestier, A Bagnall, A Mueen, E Keogh
Data mining and knowledge discovery 32, 1074-1120, 2018
Mandat: US National Science Foundation, US Department of Defense, Australian …
Matrix profile v: A generic technique to incorporate domain knowledge into motif discovery
HA Dau, E Keogh
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Mandat: US National Science Foundation
Semi-supervision dramatically improves time series clustering under dynamic time warping
HA Dau, N Begum, E Keogh
Proceedings of the 25th ACM international on conference on information and …, 2016
Mandat: US National Science Foundation
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series
HA Dau, DF Silva, F Petitjean, G Forestier, A Bagnall, E Keogh
2017 IEEE international conference on big data (big data), 917-922, 2017
Mandat: US National Science Foundation, US Department of Defense
Generalized dynamic time warping: Unleashing the warping power hidden in point-wise distances
R Neamtu, R Ahsan, EA Rundensteiner, G Sarkozy, E Keogh, HA Dau, ...
2018 IEEE 34th International Conference on Data Engineering (ICDE), 521-532, 2018
Mandat: US National Science Foundation
Online amnestic dtw to allow real-time golden batch monitoring
CCM Yeh, Y Zhu, HA Dau, A Darvishzadeh, M Noskov, E Keogh
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Mandat: US National Science Foundation, US National Institutes of Health
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