Fourth IEEE International Conference on Data Mining (ICDM'04) Efficient Relationship Pattern Mining Using Multi-Relational Iceberg-Cubes Brighton, United Kingdom November 01-November 04 ISBN: 0-7695-2142-8
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||