DocumentCode :
3465412
Title :
Finding Frequent Structures in XML Stream Data
Author :
Hwang, Jeong Hee ; Gu, Mi Sug
Author_Institution :
Dept. of Comput. Sci., Namseoul Univ., Cheonan, South Korea
fYear :
2009
fDate :
June 29 2009-July 2 2009
Firstpage :
3
Lastpage :
8
Abstract :
The XML data of continuous stream type are popular in network application through the Internet. And also there are researches related to query processing for streaming XML data. As a basic research to efficiently query, we propose not only a labeled ordered tree model representing the XML but also a mining method to extract frequent structures from streaming XML data. That is, XML data to continuously be inputted are modeled by a stream tree which is called XFP_tree and we exactly extract the frequent structures from the XFP_tree of current window to mine recent data. The proposed method can be applied to the basis of the query processing and index method for XML stream data.
Keywords :
XML; data mining; query processing; tree data structures; Internet; XFP_tree structure; XML stream data; data mining method; data structure; index method; labeled ordered tree model; query processing; Application software; Buffer storage; Computer networks; Data mining; Frequency; IP networks; Indexing; Query processing; Tree data structures; XML; Frequent Structures; XML Data; XML Mining; XML Stream Data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Its Applications, 2009. ICCSA '09. International Conference on
Conference_Location :
Yongin
Print_ISBN :
978-0-7695-3701-6
Type :
conf
DOI :
10.1109/ICCSA.2009.17
Filename :
5260975
Link To Document :
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