Supporting pages for papers and projects in which I participated.
Accpeted by ACM SIGKDD2022.
In this work, we introduce DAMP, a novel algorithm that allows us to find time series discords in datasets with trillions of datapoints for the first time, and to do it effectively online.
Accpeted by IEEE TKDE & IEEE ICDE2022.
In this work, we make a surprising claim. In spite of the fact that there are dozens of papers on early classification of time series, it is not clear that any of them could ever work in a real-world setting.
Accpeted by IEEE TKDE & IEEE ICDE2022.
In this work, we make a surprising claim. The majority of the individual exemplars in datasets created by Yahoo, Numenta, NASA, etc., suffer from one or more of four flaws.
Accpeted by IEEE TKDE & IEEE ICDE2021.
In this work, we make a surprising claim. In any realistic data mining application, the approximate FastDTW is orders of magnitude slower than the exact DTW.