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Issue No.06 - December (1996 vol.8)
pp: 962-969
ABSTRACT
<p><b>Abstract</b>—We consider the problem of mining association rules on a shared-nothing multiprocessor. We present three algorithms that explore a spectrum of trade-offs between computation, communication, memory usage, synchronization, and the use of problem-specific information. The best algorithm exhibits near perfect scaleup behavior, yet requires only minimal overhead compared to the current best serial algorithm.</p>
INDEX TERMS
Data mining, association rules, parallel algorithms.
CITATION
Rakesh Agrawal, John C. Shafer, "Parallel Mining of Association Rules", IEEE Transactions on Knowledge & Data Engineering, vol.8, no. 6, pp. 962-969, December 1996, doi:10.1109/69.553164
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