Hoang Anh Dau

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 16

Top Topics

Dynamic Time Warping

Motif Discovery

Multivariate Time Series

Top Venues

Data Min. Knowl. Discov.

Publications

Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth J. Funning, Abdullah Mueen, Eamonn J. Keogh
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. Data Min. Knowl. Discov. 34 (4) (2020)
Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh
The UCR time series archive. IEEE CAA J. Autom. Sinica 6 (6) (2019)
Diego Romeres, Devesh K. Jha, William Yerazunis, Daniel Nikovski, Hoang Anh Dau
Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. ECC (2019)
Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh
Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. KDD (2019)
Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Abdullah Mueen, Eamonn J. Keogh
Optimizing dynamic time warping's window width for time series data mining applications. Data Min. Knowl. Discov. 32 (4) (2018)
Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh
The UCR Time Series Archive. CoRR (2018)
Anthony J. Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, Eamonn J. Keogh
The UEA multivariate time series classification archive, 2018. CoRR (2018)
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 32 (1) (2018)
Emil Laftchiev, Xinmaio Sun, Hoang Anh Dau, Daniel Nikovski
Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. DX (2018)
Rodica Neamtu, Ramoza Ahsan, Elke A. Rundensteiner, Gábor N. Sárközy, Eamonn J. Keogh, Hoang Anh Dau, Cuong Nguyen, Charles Lovering
Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances. ICDE (2018)
Hoang Anh Dau, Eamonn J. Keogh
Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery. KDD (2017)
Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Eamonn J. Keogh
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series. IEEE BigData (2017)
Germain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh
Generating Synthetic Time Series to Augment Sparse Datasets. ICDM (2017)
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM (2016)
Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau, Jun Wang, Eamonn J. Keogh
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy. CoRR (2016)
Hoang Anh Dau, Nurjahan Begum, Eamonn J. Keogh
Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping. CIKM (2016)