Abstract - Scalable multi-relational association mining

Amanda Clare, Hugh E. Williams and Nicholas Lester
In 4th IEEE International Conference on Data Mining (ICDM '04)

We propose the new RADAR technique for multi-relational data mining. This permits the mining of very large collections and provides a new technique for discovering multi-relational 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.

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