Ludovic Denoyer
Abstract
This article is a report concerning the two years of the XML Mining track at INEX (2005 and 2006). We focus here on the classification and clustering of XML documents. We detail these two tasks and the corpus used for this challenge and then present a summary of the different methods proposed by the participants. We last compare the results obtained during the two years of the track.
- Maes, F., Denoyer, L., Gallinari, P.: XML structure mapping application to the pascal INEX 2006 XML document mining track. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2006)Google Scholar
- Gilleron, R., Jousse, F., Tellier, I., Tommasi, M.: XML document transformation with conditional random fields. In: INEX 2006. (2007)Google ScholarCross Ref
- Fuhr, N., Gövert, N., Kazai, G., Lalmas, M., eds.: Proceedings of the First Workshop of the INitiative for the Evaluation of XML Retrieval (INEX), Schloss Dagstuhl, Germany, December 9-11, 2002. In Fuhr, N., Gövert, N., Kazai, G., Lalmas, M., eds.: Workshop of the INitiative for the Evaluation of XML Retrieval. (2002)Google Scholar
- Denoyer, L., Gallinari, P.: The Wikipedia XML Corpus. SIGIR Forum (2006) Google ScholarDigital Library
- Vercoustre, A. M., Fegas, M., Gul, S., Lechevallier, Y.: A flexible structured-based representation for XML document mining. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2005) 443--457 Google ScholarDigital Library
- Garboni, C., Masseglia, F., Trousse, B.: Sequential pattern mining for structure-based XML document classification. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2005) 458--468 Google ScholarDigital Library
- Candillier, L., Tellier, I., Torre, F.: Transforming XML trees for efficient classification and clustering. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2005) 469--480 Google ScholarDigital Library
- Hagenbuchner, M., Sperduti, A., Tsoi, A. C., Trentini, F., Scarselli, F., Gori, M.: Clustering XML documents using self-organizing maps for structures. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2005) 481--496 Google ScholarDigital Library
- Kc, M., Hagenbuchner, M., Tsoi, A., Scarselli, F., Gori, M., Sperduti, A.: XML document mining using contextual self-organizing maps for structures. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2006) Google ScholarDigital Library
- Doucet, A., Lehtonen, M.: Unsupervised classification of text-centric XML document collections. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2006)Google Scholar
- Knijf, J. D.: Fat-cat: Frequent attributes tree based classification. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2006)Google Scholar
- Tran, T., Nayak, R., Raymond, K.: Clustering XML documents by structural similarity with pcxss. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2006) Google ScholarDigital Library
- Nayak, R., Xu, S.: XML documents clustering by structures. In: Workshop of the INitiative for the Evaluation of XML Retrieval. (2005) 432--442 Google ScholarDigital Library
Index Terms
- Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents
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