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A high-performance distributed algorithm for mining association rules
2005
Knowledge and Information Systems
We present a new distributed association rule mining (D-ARM) algorithm that demonstrates superlinear speed-up with the number of computing nodes. The algorithm is the first D-ARM algorithm to perform a single scan over the database. As such, its performance is unmatched by any previous algorithm. Scale-up experiments over standard synthetic benchmarks demonstrate stable run time regardless of the number of computers. Theoretical analysis reveals a tighter bound on error probability than the one
doi:10.1007/s10115-004-0176-3
fatcat:zdrh72xqnzfihmyxevyomex7s4