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1997
ACM

Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes

10 years 6 months ago
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-guided mining: given a metarule containing p predicates, we compare mining on an n-dimensional (n-D) cube structure (where p < n) with mining on smaller multiple pdimensional cubes. In addition, we propose an efficient method for precomputing the cube, which takes into account the constraints imposed by the given metarule.
Micheline Kamber, Jiawei Han, Jenny Chiang
Added 26 Aug 2010
Updated 26 Aug 2010
Type Conference
Year 1997
Where KDD
Authors Micheline Kamber, Jiawei Han, Jenny Chiang
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