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
Link To Document :
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