Abstract
Recently because there are many kinds of exchanges of the information such as the dramatic growth of the internet, ubiquitous computing environment, and sensor network, it is required to process the infinite sequential data. And also there are researches related to query processing for streaming XML data. As a basic research to efficiently query, we propose a mining method to extract frequent structures of XML stream data in recent window based on the active window sliding using trigger rules.
Funding for this paper was provided by Namseoul university.
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Hwang, J.H., Gu, M.S. (2012). A Trigger Based Approach for Mining Frequent Structures of XML. In: Lee, G., Howard, D., Ślęzak, D., Hong, Y.S. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Communications in Computer and Information Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32692-9_52
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DOI: https://doi.org/10.1007/978-3-642-32692-9_52
Publisher Name: Springer, Berlin, Heidelberg
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