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Multimedia Data Mining

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Data Mining and Knowledge Discovery Handbook

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Ackonwledgments

This work is supported in part by the National Science Foundation through grants IIS-0535162 and IIS-0812114. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Author information

Authors and Affiliations

  1. SUNY at Binghamton, Binghamton, NY, 13902-6000, USA

    Zhongfei (Mark) Zhang

  2. Yahoo!, Inc., Sunnyvale, CA, 94089, USA

    Ruofei Zhang

Authors
  1. Zhongfei (Mark) Zhang
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  2. Ruofei Zhang
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Corresponding author

Correspondence to Zhongfei (Mark) Zhang .

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Editors and Affiliations

  1. , Dept. Industrial Engineering, Tel Aviv University, Ramat Aviv, 69978, Israel

    Oded Maimon

  2. , Dept. Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel

    Lior Rokach

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Zhang, Z.(., Zhang, R. (2009). Multimedia Data Mining. In: Maimon, O., Rokach, L. (eds) Data Mining and Knowledge Discovery Handbook. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09823-4_57

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  • DOI: https://doi.org/10.1007/978-0-387-09823-4_57

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  • Online ISBN: 978-0-387-09823-4

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