A Parallel FP-Growth Algorithm Based on GPU

2017 IEEE 14th International Conference on e-Business Engineering (ICEBE)(2017)

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摘要
This paper proposes and implements a parallel scheme of FP-growth algorithm and implements this parallel algorithm (PFP-growth algorithm). Experimental results show that, compared with FP-growth algorithm, PFP-growth algorithm is more efficient, and the larger the data set is, the lower the support threshold is, the more remarkable the speedup is.
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关键词
frequent itemset mining,FP-growth,GPU,parallel computing
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