Finding Frequent Structures in XML Stream Data
Jeong Hee Hwang, Mi Sug Gu · 2009
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.