Pingping Yu

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Focusing on the defects existing in classical Association Rules Mining algorithms, we explore a new way of mining temporal association rules with the time-property in dataset. By combining with the Rough Set Theory and parallel computing technology, a temporal association rules mining algorithm based on attribute reduction - ARTAR is put forward to deal(More)
In order to solve defects of the Slope One algorithm that the effect of recommending is not well because of without considering the time weight, and has the problem of data sparsity and poor real-time performance. A weighted slope one algorithm based on cluster filling and time weight (WSOBCFT) was proposed in this paper. To reduce the time of generating(More)
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