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Interactive Exploration of Time Series Data

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Discovery Science (DS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2226))

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Abstract

Widespread interest in discovering features and trends in time- series has generated a need for tools that support interactive exploration.This paper introduces timeboxes: a powerful direct-manipulation metaphor for the specification of queries over time series datasets. Our TimeSearcher implementation of timeboxes supports interactive formulation and modification of queries, thus speeding the process of exploring time series data sets and guiding data mining.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Human-Computer Interaction Lab, University of Maryland, 20742, College Park, MD

    Harry Hochheiser

  2. Department of Computer Science, Human-Computer Interaction Lab, Institute for Advanced Computer Studies, and Institute for Systems Research, University of Maryland, 20742, College Park, MD

    Ben Shneiderman

Authors
  1. Harry Hochheiser
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  2. Ben Shneiderman
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Editor information

Editors and Affiliations

  1. DFKI GmbH Saarbrücken, 66123, Saarbrücken, Germany

    Klaus P. Jantke

  2. Department of Informatics, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, 812-8581, Fukuoka, Japan

    Ayumi Shinohara

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© 2001 Springer-Verlag Berlin Heidelberg

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Hochheiser, H., Shneiderman, B. (2001). Interactive Exploration of Time Series Data. In: Jantke, K.P., Shinohara, A. (eds) Discovery Science. DS 2001. Lecture Notes in Computer Science(), vol 2226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45650-3_38

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  • DOI: https://doi.org/10.1007/3-540-45650-3_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42956-2

  • Online ISBN: 978-3-540-45650-6

  • eBook Packages: Springer Book Archive

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