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Guest editorial: special issue on temporal data mining: theory, algorithms and applications

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Data Mining and Knowledge Discovery Aims and scope Submit manuscript

Abstract

This special issue provides a leading forum for timely, in-depth presentation of recent advances in algorithms, theories and applications in temporal data mining. The selected papers underwent a rigorous refereeing and revision process.

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Authors and Affiliations

  1. School of Computer Science, Florida International University, Miami, FL, USA

    Tao Li

  2. IBM T.J. Watson Research Center, Yorktown heights, NY, USA

    Chang-Shing Perng

  3. Movivi Inc., Beijing, China

    Sheng Ma

Authors
  1. Tao Li
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  2. Chang-Shing Perng
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  3. Sheng Ma
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Corresponding author

Correspondence to Chang-Shing Perng.

Additional information

Responsible editor: Geoffrey Webb.

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Li, T., Perng, CS. & Ma, S. Guest editorial: special issue on temporal data mining: theory, algorithms and applications. Data Min Knowl Disc 16, 1–3 (2008). https://doi.org/10.1007/s10618-007-0085-7

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  • DOI: https://doi.org/10.1007/s10618-007-0085-7

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