DocumentCode
2054697
Title
Retrieving Representative Structures from XML Documents Using Clustering Techniques
Author
Huang, Yin-Fu ; Liou, Po-Lun
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan
fYear
2011
fDate
12-14 Sept. 2011
Firstpage
332
Lastpage
339
Abstract
In the paper, we addressed the problem of finding the common structures in a collection of XML documents. Since an XML document can be represented as a tree structure, the problem how to cluster a collection of XML documents can be considered as how to cluster a collection of tree-structured documents. First, we used SOM (Self-Organizing Map) with the Jaccard coefficient to cluster XML documents. Then, an efficient sequential mining method called GST was applied to find maximum frequent sequences. Finally, we merged the maximum frequent sequences to produce the common structures in a cluster.
Keywords
XML; information retrieval; pattern clustering; self-organising feature maps; tree data structures; Jaccard coefficient; SOM; XML documents; clustering techniques; representative structure retrieval; selforganizing map; tree structured documents; Clustering algorithms; Clustering methods; Data mining; Electronic mail; Filtering; Merging; XML; XML document; clustering; common structure; sequential pattern mining; tree-structured;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics Conference (EISIC), 2011 European
Conference_Location
Athens
Print_ISBN
978-1-4577-1464-1
Electronic_ISBN
978-0-7695-4406-9
Type
conf
DOI
10.1109/EISIC.2011.16
Filename
6061227
Link To Document