Data mining and information retrieval in time series/multimedia databases

  • Authors:

  • Eamonn Keogh

  • Affiliations:

  • University of California at Riverside, Riverside, CA

  • Venue:
  • MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
  • Year:
  • 2006

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Abstract

Time series and multimedia data are ubiquitous; large volumes of such data are routinely created in scientific, industrial, entertainment, medical and biological domains. Examples include gene expression data, X-rays, electrocardiograms, electroencephalograms, gait analysis, stock market quotes, space telemetry etc.A decade ago, a seminal paper by Faloutsos, Ranganathan, Manolopoulos appeared in SIGMOD [1]. The paper, Fast Subsequence Matching in Time-Series Databases, has spawned at least a thousand references and extensions in the database/data mining and information retrieval communities. This tutorial will summarize the decade of progress since this influential paper appeared.