Data mining and information retrieval in time series/multimedia databases

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.

REFERENCES

• 1: Christos Faloutsos , M. Ranganathan , Yannis Manolopoulos, Fast subsequence matching in time-series databases, Proceedings of the 1994 ACM SIGMOD international conference on Management of data, p.419-429, May 24-27, 1994, Minneapolis, Minnesota, United States
• 2: www.cs.ucr.edu/~eamonn/selected_publications.htm

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing

General Terms:
Algorithms, Experimentation