Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes

Brighton, United Kingdom November 01-November 04

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http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10059

Fourth IEEE International Conference ...

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	Dawit Yimam Seid, Sharad Mehrotra, "Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes," Data Mining, IEEE International Conference on, pp. 515-518, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004.

	BibTex	x
	@article{ 10.1109/ICDM.2004.10059, author = {Dawit Yimam Seid and Sharad Mehrotra}, title = {Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2142-8}, pages = {515-518}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2004.10059}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes SN - 0-7695-2142-8 SP515 EP518 A1 - Dawit Yimam Seid, A1 - Sharad Mehrotra, PY - 2004 KW - null VL - 0 JA - Data Mining, IEEE International Conference on ER -

Dawit Yimam Seid, University of California, Irvine

Sharad Mehrotra, University of California, Irvine

Multi-relational data mining(MRDM) is concerned with data that contains heterogeneous and semantically rich relationships among various entity types. In this paper, we introduce multi-relational iceberg-cubes (MRI-Cubes) as a scalable approach to efficiently compute data cubes (aggregations) over multiple database relations and, in particular, as mechanisms to compute frequent multi-relational patterns ("itemsets"). We also present a summary of performance results of our algorithm.

Citation:

Dawit Yimam Seid, Sharad Mehrotra, "Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes," icdm, pp.515-518, Fourth IEEE International Conference on Data Mining (ICDM'04), 2004

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