Hoang Anh Dau

PhD Candidate in Computer Science, UC Riverside

I work with Prof. Eamonn Keogh on Data Mining of Time Series

Here is my resume


PhD in Computer Science, ongoing

University of California, Riverside - USA

Master of Science in Computing, 2012

RMIT University - Melbourne, Australia

Master of Arts in Communication and Media Studies, 2010

Monash University - Melbourne, Australia

Bachelor of Arts in Foreign Languages, 2008

Hanoi University - Hanoi, Vietnam

Latest Papers

  1. Hoang Anh Dau and Eamonn Keogh, A Framework for Guided Time Series Motif Discovery , under review for KDD'17, Halifax, Canada. Available upon request.
  2. Hoang Anh Dau, Diego Furtado Silva, Francois Petitjean, Germain Forestier, Anthony Bagnall, Eamonn Keogh, Judicious Setting of Dynamic Time Warping's Window Width Allows More Accurate Classification of Time Series , under review for KDD'17, Halifax, Canada. Available upon request.
  3. Hoang Anh Dau, Nurjahan Begum, Eamonn Keogh, Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping, ACM International Conference on Information and Knowledge Management (CIKM’16), Indianapolis, USA Supporting webpage
  4. Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn Keogh, Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets , IEEE International Conference on Data Mining (ICDM’16), Barcelona, Spain Supporting webpage
  5. Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau, Jun Wang, Eamonn Keogh, A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Prunning Strategy, arXiv preprint arXiv:1612.00637, 2016 Supporting webpage



Data Mining Lab - WCH 368
Department of Computer Science and Engineering
University of California, Riverside, CA 92521


hdau001 at ucr dot edu


Some photos of my beautiful Vietnam

My advisor and I in the news