Scalable Multi-Relational Association Mining
Amanda J. Clare, Hugh E. Williams, Nicholas Lester · 2005
We propose the RADAR technique for multirelational data mining. This permits the mining of very large collections and provides a technique for discovering multirelational associations. Results show that RADAR is reliable and scalable for mining a large yeast homology collection, and that it does not have the main-memory scalability constraints of the Farmer and Warmr tools.