Mining Frequent Itemsets from Secondary Memory

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	Similar Articles Articles by G?sta Grahne Articles by Jianfei Zhu

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

Brighton, United Kingdom

November 01-November 04

ISBN: 0-7695-2142-8

	ASCII Text	x
	G?sta Grahne, Jianfei Zhu, "Mining Frequent Itemsets from Secondary Memory," Data Mining, IEEE International Conference on, pp. 91-98, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004.

	BibTex	x
	@article{ 10.1109/ICDM.2004.10116, author = {G?sta Grahne and Jianfei Zhu}, title = {Mining Frequent Itemsets from Secondary Memory}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2142-8}, pages = {91-98}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10116}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Mining Frequent Itemsets from Secondary Memory SN - 0-7695-2142-8 SP91 EP98 A1 - G?sta Grahne, A1 - Jianfei Zhu, PY - 2004 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

G?sta Grahne, Concordia University, Montreal, Canada

Jianfei Zhu, Concordia University, Montreal, Canada

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10116

Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate approaches to mining frequent itemsets when the database or the data structures used in the mining are too large to fit in main memory. Experimental results show that our techniques reduce the required disk accesses by orders of magnitude, and enable truly scalable data mining.

Citation:

G?sta Grahne, Jianfei Zhu, "Mining Frequent Itemsets from Secondary Memory," icdm, pp.91-98, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004

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