H
Hoang Anh Dau
Researcher at University of California, Riverside
Publications - 20
Citations - 1798
Hoang Anh Dau is an academic researcher from University of California, Riverside. The author has contributed to research in topics: Dynamic time warping & Cluster analysis. The author has an hindex of 12, co-authored 20 publications receiving 996 citations. Previous affiliations of Hoang Anh Dau include RMIT University & University of California, Berkeley.
Papers
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Proceedings ArticleDOI
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets
Chin-Chia Michael Yeh,Yan Zhu,Liudmila Ulanova,Nurjahan Begum,Yifei Ding,Hoang Anh Dau,Diego Furtado Silva,Abdullah Mueen,Eamonn Keogh +8 more
TL;DR: A novel scalable algorithm for time series subsequence all-pairs-similarity-search that computes the answer to the time series motif and time series discord problem as a side-effect, and incidentally provides the fastest known algorithm for both these extensively-studied problems.
Journal ArticleDOI
The UCR time series archive
Hoang Anh Dau,Anthony J. Bagnall,Kaveh Kamgar,Chin-Chia Michael Yeh,Yan Zhu,Shaghayegh Gharghabi,Chotirat Ann Ratanamahatana,Eamonn Keogh +7 more
TL;DR: The UCR time series archive as discussed by the authors has become an important resource in the time series data mining community, with at least one thousand published papers making use of one data set from the archive.
Posted Content
The UCR Time Series Archive
Hoang Anh Dau,Anthony J. Bagnall,Kaveh Kamgar,Chin-Chia Michael Yeh,Yan Zhu,Shaghayegh Gharghabi,Chotirat Ann Ratanamahatana,Eamonn Keogh +7 more
TL;DR: A novel and yet actionable claim is made: of the hundreds of papers that show an improvement over the standard baseline ( 1-nearest neighbor classification ), a fraction might be mis-attributing the reasons for their improvement.
Posted Content
The UEA multivariate time series classification archive, 2018.
Anthony J. Bagnall,Hoang Anh Dau,Jason Lines,Michael Flynn,James Large,Aaron Bostrom,Paul Southam,Eamonn Keogh +7 more
TL;DR: The first iteration of the MTSC archive is formed, a collaborative effort between researchers at the University of East Anglia (UEA) and theUniversity of California, Riverside (UCR), which consists of 30 datasets with a wide range of cases, dimensions and series lengths.
Proceedings ArticleDOI
Generating Synthetic Time Series to Augment Sparse Datasets
TL;DR: This paper proposes new data augmentation techniques specifically designed for time series classification, where the space in which they are embedded is induced by Dynamic Time Warping (DTW).