Eamonn Keogh
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.
- Faloutsos, C., Ranganathan, M., Manolopoulos, Y.: Fast subsequence matching in timeseries databases. ACM SIGMOD Int.Conf. on Management of Data, (1994) 419--429. Google Scholar
Digital Library
- www.cs.ucr.edu/~eamonn/selected_publications.htmGoogle Scholar
Index Terms
- Data mining and information retrieval in time series/multimedia databases
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