Locating Motifs in Time-Series Data

  title={Locating Motifs in Time-Series Data},
  author={Zheng Liu and Jeffrey Xu Yu and Xuemin Lin and Hongjun Lu and Wei Wang},
Finding motifs in time-series is proposed to make clustering of time-series subsequences meaningful, because most existing algorithms of clustering time-series subsequences are reported meaningless in recent studies. The existing motif finding algorithms emphasize the efficiency at the expense of quality, in terms of the number of time-series subsequences… CONTINUE READING