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Indexed by:期刊论文

Date of Publication:2015-01-01

Journal:ICIC Express Letters

Included Journals:EI、Scopus

Volume:9

Issue:5

Page Number:1303-1310

ISSN No.:1881803X

Abstract:Mining association rules in medical data, is not only significant to the efficient use of existing medical data, but also significant to the discovery of new knowledge to improve health care standard. With the advent of big data era, it becomes more and more important to mine valuable association rules from massive data rapidly in order to meet real-time requirements. Traditional cluster computing based on MapReduce can achieve a good speed-up; however, the cost to construct a cluster is too high for ordinary users, which restricts its application range. In this paper, we propose a parallel Apriori algorithm based on multi-GPU (Graphics Processing Unit) to accelerate the calculation process of Apriori. The analytical results demonstrate that the proposed method can greatly speed up its execution with lower cost and provide ordinary users a feasible method in mining medical data. ? ICIC International