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HCX : an efficient hybrid clustering approach for XML documents

Kutty, Sangeetha, Nayak, Richi, & Li, Yuefeng (2009) HCX : an efficient hybrid clustering approach for XML documents. In 9th ACM Symposium on Document Engineering : DocEng 2009, 15-18 September 2009 , Munich, Germany.

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Abstract

This paper proposes a novel Hybrid Clustering approach for XML documents (HCX) that first determines the structural similarity in the form of frequent subtrees and then uses these frequent subtrees to represent the constrained content of the XML documents in order to determine the content similarity. The empirical analysis reveals that the proposed method is scalable and accurate.

Impact and interest:

6 citations in Scopus
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3 citations in Web of Science®

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ID Code: 29654
Item Type: Conference Paper
Keywords: XML documents, Clustering, Frequent mining, Subtree mining, Structure and content.
DOI: 10.1145/1600193.1600213
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Information Technology
Copyright Owner: Copyright 2009 Association for Computing Machinery
Deposited On: 14 Jan 2010 10:46
Last Modified: 01 Mar 2012 00:12

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