Clustering XML Documents Using Closed Frequent Subtrees: A Structural Similarity Approach

Kutty, Sangeetha, Tran, Tien, Nayak, Richi, & Li, Yuefeng (2008) Clustering XML Documents Using Closed Frequent Subtrees: A Structural Similarity Approach. In Fuhr, Norber, Kamps, Jaap, Lalmas, Mounia, Malik, Saadia, & Trotman, Andrew (Eds.) 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007 Dagstuhl Castle, December 17-19, 2007, Germany.

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Abstract

This paper presents the experimental study conducted over the INEX 2007 Document Mining Challenge corpus employing a frequent subtree-based incremental clustering approach. Using the structural information of the XML documents, the closed frequent subtrees are generated. A matrix is then developed representing the closed frequent subtree distribution in documents. This matrix is used to progressively cluster the XML documents. In spite of the large number of documents in INEX 2007 Wikipedia dataset, the proposed frequent subtree-based incremental clustering approach was successful in clustering the documents.

Impact and interest:

4 citations in Scopus
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ID Code: 18356
Item Type: Conference Paper
Refereed: Yes
Additional Information: For more information, please refer to the journal’s/conference website (see hypertext link) or contact the author.
DOI: 10.1007/978-3-540-85902-4_17
ISBN: 978-3-540-85901-7
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2008 Springer
Deposited On: 26 Feb 2009 05:45
Last Modified: 09 Jun 2010 13:27

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