Title :
Scalable multi-relational association mining
Author :
Clare, Amanda ; Williams, Hugh E. ; Lester, Nicholas
Author_Institution :
Dept. of Comput. Sci., Wales Univ., Aberystwyth, UK
Abstract :
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.
Keywords :
data mining; relational databases; RADAR technique; multirelational association discovery; multirelational data mining; scalable multirelational association mining; yeast homology collection mining; Bioinformatics; Computer science; Costs; Data mining; Information retrieval; Information technology; Radar; Scalability; Search engines; Vocabulary;
Conference_Titel :
Data Mining, 2004. ICDM '04. Fourth IEEE International Conference on
Print_ISBN :
0-7695-2142-8
DOI :
10.1109/ICDM.2004.10035
