AWARD    Best Student Paper Award at the International Conference on Data Mining

Date:

November 30, 2017

Awarded to:

Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn Keogh

Description:

Yan Zhu, a former MERL intern from the University of California at Riverside has won the Best Student Paper Award at the International Conference on Data Mining in 2017, for her work on time series chains, a novel primitive for time series analysis. The work was done in collaboration with Makoto Imamura, formerly at Information Technology Center/AI Department, and currently a professor at Tokai University in Tokyo, Japan, Daniel Nikovski from MERL, and Yan's advisor, Prof. Eamonn Keogh from UC Riverside, whose lab has had a long and fruitful collaboration with MERL and Mitsubishi Electric.

External Link:

http://www.cs.uvm.edu/~icdm/Awards/BestPapers.shtml

Research Area:

Data Analytics

• Related Publications

   Zhu, Y., Imamura, M., Nikovski, D.N., Keogh, E., "Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining", International Conference on Data Mining, DOI: 10.1109/​ICDM.2017.79, November 2017.

  BibTeX TR2017-168 PDF

  • @inproceedings{Zhu2017nov,
  • author = {Zhu, Yan and Imamura, Makoto and Nikovski, Daniel N. and Keogh, Eamonn},
  • title = {Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining},
  • booktitle = {International Conference on Data Mining},
  • year = 2017,
  • month = nov,
  • doi = {10.1109/ICDM.2017.79},
  • url = {https://www.merl.com/publications/TR2017-168}
  • }