Frequent Patten Tree based XML Stream Mining 


Vol. 16,  No. 5, pp. 673-682, Oct.  2009
10.3745/KIPSTD.2009.16.5.673


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  Abstract

XML data are widely used for data representation and exchange on the Web and the data type is an continuous stream in ubiquitous environment. Therefore there are some mining researches related to the extracting of frequent structures and the efficient query processing of XML stream data. In this paper, we propose a mining method to extract frequent structures of XML stream data in recent window based on the sliding window. XML stream data are modeled as a tree set, called XFP_tree and we quickly extract the frequent structures over recent XML data in the XFP_tree.

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[IEEE Style]

J. H. Hwang, "Frequent Patten Tree based XML Stream Mining," The KIPS Transactions:PartD, vol. 16, no. 5, pp. 673-682, 2009. DOI: 10.3745/KIPSTD.2009.16.5.673.

[ACM Style]

Jeong Hee Hwang. 2009. Frequent Patten Tree based XML Stream Mining. The KIPS Transactions:PartD, 16, 5, (2009), 673-682. DOI: 10.3745/KIPSTD.2009.16.5.673.

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