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An Incremental Clustering Technique of XML Documents using Cluster Histograms  

Hwang, Jeong-Hee (남서울대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Databases / v.34, no.3, 2007 , pp. 261-269 More about this Journal
Abstract
As a basic research to integrate and to retrieve XML documents efficiently, this paper proposes a clustering method by structures of XML documents. We apply an algorithm processing the many transaction data to the clustering of XML documents, which is a quite different method from the previous algorithms measuring structure similarity. Our method performs the clustering of XML documents not only using the cluster histograms that represent the distribution of items in clusters but also considering the global cluster cohesion. We compare the proposed method with the existing techniques by performing experiments. Experiments show that our method not only creates good quality clusters but also improves the processing time.
Keywords
XML Mining; XML Clustering; Structure Extraction; XML Document;
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Times Cited By KSCI : 1  (Citation Analysis)
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