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Overview of the INEX 2010 XML Mining Track: Clustering and Classification of XML Documents

  • Conference paper
Comparative Evaluation of Focused Retrieval (INEX 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6932))

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Abstract

This report explains the objectives, datasets and evaluation criteria of both the clustering and classification tasks set in the INEX 2010 XML Mining track. The report also describes the approaches and results obtained by participants.

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References

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Author information

Authors and Affiliations

  1. Faculty of Science and Technology, Queensland University of Technology, Brisbane, Australia

    Christopher M. De Vries, Richi Nayak, Sangeetha Kutty & Shlomo Geva

  2. University of Calabria, Italy

    Andrea Tagarelli

Authors
  1. Christopher M. De Vries
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  2. Richi Nayak
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  3. Sangeetha Kutty
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  4. Shlomo Geva
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  5. Andrea Tagarelli
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Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, Queensland University of Technology, GPO Box 2434, Qld 4001, Brisbane, Australia

    Shlomo Geva

  2. Archives and Information Studies/Humanities, University of Amsterdam, Turfdraagsterpad 9, 1012XT, Amsterdam, The Netherlands

    Jaap Kamps

  3. Multimodal Computing and Interaction, Saarland University, 66123, Saarbrücken, Germany

    Ralf Schenkel

  4. Department of Computer Science, University of Otago, P.O. Box 56, 9054, Dunedin, New Zealand

    Andrew Trotman

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De Vries, C.M., Nayak, R., Kutty, S., Geva, S., Tagarelli, A. (2011). Overview of the INEX 2010 XML Mining Track: Clustering and Classification of XML Documents. In: Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds) Comparative Evaluation of Focused Retrieval. INEX 2010. Lecture Notes in Computer Science, vol 6932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23577-1_35

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  • DOI: https://doi.org/10.1007/978-3-642-23577-1_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23576-4

  • Online ISBN: 978-3-642-23577-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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