DocumentCode
2625865
Title
Clustering XML Documents Based on the Weight of Frequent Structures
Author
Hwang, Jeong Hee ; Gu, Mi Sug
Author_Institution
Namseoul Univ., Chonan
fYear
2007
fDate
21-23 Nov. 2007
Firstpage
845
Lastpage
849
Abstract
The previous clustering methods of XML document group XML documents with similar structures, measuring structural similarity and distance between XML documents. In this paper, however, we propose a novel clustering method for XML documents using the weight of frequent structures in XML documents, considering that an XML document as a transaction and the extracted structures from XML documents as items of a transaction. Our experiment results show the high speed and cluster cohesion of our clustering method.
Keywords
XML; document handling; XML documents; clustering methods; structural similarity; Bioinformatics; Books; Clustering algorithms; Clustering methods; Computer science; Databases; Information technology; Internet; Laboratories; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Convergence Information Technology, 2007. International Conference on
Conference_Location
Gyeongju
Print_ISBN
0-7695-3038-9
Type
conf
DOI
10.1109/ICCIT.2007.101
Filename
4420365
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