Incremental Mining of Frequent XML Query Patterns

I
ICDM
2004
Fourth IEEE International Conference on Data Mining (ICDM'04)
Abstract - Incremental Mining of Frequent XML Query Patterns

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Fourth IEEE International Conference on Data Mining (ICDM'04)

Brighton, United Kingdom

November 01-November 04

ISBN: 0-7695-2142-8

	ASCII Text	x
	Yi Chen, Liang Huai Yang, Yu Guo Wang, "Incremental Mining of Frequent XML Query Patterns," Data Mining, IEEE International Conference on, pp. 343-346, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004.

	BibTex	x
	@article{ 10.1109/ICDM.2004.10025, author = {Yi Chen and Liang Huai Yang and Yu Guo Wang}, title = {Incremental Mining of Frequent XML Query Patterns}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2142-8}, pages = {343-346}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10025}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Incremental Mining of Frequent XML Query Patterns SN - 0-7695-2142-8 SP343 EP346 A1 - Yi Chen, A1 - Liang Huai Yang, A1 - Yu Guo Wang, PY - 2004 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

Yi Chen, Chinese Academy of Sciences

Liang Huai Yang, Peking Univerity

Yu Guo Wang, Chinese Academy of Sciences

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10025

Recently, the discovering of frequent XML query patterns gains its focus due to its many applications in XML data management, and several algorithms have been proposed to discover frequent query patterns using the frequent structure mining techniques. In this paper we consider the problem of incremental mining of frequent XML query patterns. We propose a novel method to minimize the I/O and computation requirements for handling incremental updates.

Citation:

Yi Chen, Liang Huai Yang, Yu Guo Wang, "Incremental Mining of Frequent XML Query Patterns," icdm, pp.343-346, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004

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