Identifying distinctive subsequences in multivariate time series by clustering

  • Authors:
  • Tim Oates

  • Affiliations:
  • Computer Science Department, LGRC, University of Massachusetts, Box 34610, Amherst, MA

  • Venue:
  • KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
  • Year:
  • 1999

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Abstract