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A Parallel/Distributed Algorithmic Framework for Mining All Quantitative Association Rules
We present QARMA, an efficient novel parallel algorithm for mining all Quantitative Association Rules in large multidimensional datasets where items are required to have at least a single common attribute to be specified in the rules single consequent item.
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