Mining of Multiple Fuzzy Frequent Itemsets with Transaction Insertion
Advances in Intelligent Systems and Computing(2017)
摘要
In this paper, we thus present an algorithm to efficiently update the multiple fuzzy frequent itemsets from the quantitative dataset with transaction insertion. The designed approach is based on the Fast UPdated (FUP) concept to divide the transformed linguistic terms into four cases, and each case is performed by the designed approach for updating the discovered information. Also, the fuzzy-list (FL) structure is adopted to reduce the generation of candidates without multiple database scans. Experiments are conducted to show that the proposed algorithm outperforms the state-of-the-art approach. © 2018, Springer International Publishing AG.
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关键词
Dynamic database,FL-strcutrue,Fuzzy data mining,Incremetal,Insertion
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