Parallel mining of association rules with a Hopfield type neural network

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ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Year:
2000

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Abstract

Abstract: Association rule mining (ARM) is one of the data mining problems receiving a great deal of attention in the database community. The main computation step in an ARM algorithm is frequent itemset discovery. In this paper, a frequent itemset discovery algorithm based on the Hopfield model is presented.