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    GTK: A Hybrid-Search Algorithm of Top-Rank-k Frequent Patterns Based on Greedy Strategy

    Yuhang Long1, Wensheng Tang1, *, Bo Yang1, *, Xinyu Wang2, Hua Ma1, Hang Shi1, Xueyu Cheng3

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1445-1469, 2020, DOI:10.32604/cmc.2020.09944

    Abstract Currently, the top-rank-k has been widely applied to mine frequent patterns with a rank not exceeding k. In the existing algorithms, although a level-wise-search could fully mine the target patterns, it usually leads to the delay of high rank patterns generation, resulting in the slow growth of the support threshold and the mining efficiency. Aiming at this problem, a greedy-strategy-based top-rank-k frequent patterns hybrid mining algorithm (GTK) is proposed in this paper. In this algorithm, top-rank-k patterns are stored in a static doubly linked list called RSL, and the patterns are divided into short patterns and long patterns. The short… More >

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