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Communication Dans Un Congrès Année : 2005

Experiments in Clustering Homogeneous XML Documents to Validate
an Existing Typology

Résumé

This paper presents some experiments in clustering homogeneous XML
documents to validate an existing classification or more generally an
organisational structure.
Our approach integrates techniques for extracting knowledge from documents with unsupervised classification (clustering) of documents. We focus on the feature selection used for representing documents and its impact on the emerging classification. We mix the selection of structured features with fine textual selection based on syntactic characteristics.
We illustrate and evaluate this approach with a collection of Inria activity reports for the year 2003. The objective is to cluster projects into larger groups (Themes), based on the keywords or different chapters of these activity reports. We then compare the results of clustering using different feature selections, with the official theme structure used by Inria.
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Dates et versions

inria-00000002 , version 1 (28-04-2005)
inria-00000002 , version 2 (08-07-2005)
inria-00000002 , version 3 (09-08-2005)

Identifiants

  • HAL Id : inria-00000002 , version 1

Citer

Thierry Despeyroux, Yves Lechevallier, Brigitte Trousse, Anne-Marie Vercoustre. Experiments in Clustering Homogeneous XML Documents to Validate
an Existing Typology. 5th International Conference on Knowledge Management (I-Know), Jul 2005, Vienna, Austria. ⟨inria-00000002v1⟩
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