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XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents

  • Richi Nayak
  • Sumei Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3918)

Abstract

We present a novel clustering algorithm to group the XML documents by similar structures. We introduce a Level structure format to represent the XML documents for efficient processing. We develop a global criterion function that do not require the pair-wise similarity to be computed between two individual documents, rather measures the similarity at clustering level utilising structural information of the XML documents. The experimental analysis shows the method to be fast and accurate.

Keywords

Level Structure Cluster Solution Tree Edit Distance Global Similarity Measure Effective Cluster Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Richi Nayak
    • 1
  • Sumei Xu
    • 1
  1. 1.School of Information SystemsQueensland University of TechnologyBrisbaneAustralia

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