XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents
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.
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|Item Type:||Journal Article|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2006 (please consult authors)|
|Copyright Statement:||Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com|
|Deposited On:||15 Oct 2007 00:00|
|Last Modified:||29 Feb 2012 13:21|
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