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Research of Association Rule Mining Algorithm Based on Improved FP-Tree

机译:基于改进FP-Tree的关联规则挖掘算法研究

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Mining algorithm of FP-Tree is one of the most effective mining algorithms in association rule mining. It must produce large amounts of the candidate set and scan database repeatedly, but it generates conditional FPTree recursively in the process of mining frequent pattern and wastes the storage space greatly using the common tree's memory structure. It proposed an algorithm for mining frequent patterns by constructing reverse FP-tree with a binary tree storage structure. In mining process, it mines left son tree recursively, but gets frequent pattern not by generating conditional FP-Tree, so it greatly reduces the storage space and running time. The experiments show that the improved algorithm can realize effective mining on the time and space.
机译:FP-Tree的挖掘算法是关联规则挖掘中最有效的挖掘算法之一。它必须产生大量的候选集并重复扫描数据库,但是它在挖掘频繁模式的过程中递归地生成条件FPTree,并且使用公共树的内存结构极大地浪费了存储空间。提出了一种通过使用二叉树存储结构构造反向FP树来挖掘频繁模式的算法。在挖掘过程中,它以递归方式挖掘左子树,但不通过生成条件FP-Tree来获得频繁的模式,因此大大减少了存储空间和运行时间。实验表明,改进算法可以实现时空有效挖掘。

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