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• W2107396303 abstract "In this paper, we present our experiences in implementing a hierarchical parallel version of apriori association mining using a middleware. The middleware supports both shared memory and distributed memory parallelization, and enables high I/O performance. Our experimental results on a cluster of SMPs show that: 1) distributed memory parallelization achieves very high efficiency, 2) shared memory parallelization achieves good efficiency if the application is not I/O bound, and 3) the processing time required per data item remains almost the same as the dataset size is increased, establishing that efficient processing of disk resident datasets is possible." @default.
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• W2107396303 date "2005-08-29" @default.
• W2107396303 modified "2023-09-27" @default.
• W2107396303 title "An efficient association mining implementation on cluster of SMPs" @default.
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• W2107396303 doi "https://doi.org/10.1109/ipdps.2001.925142" @default.
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