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Research of Algorithm of Mining Frequent Closed Pattern about Distributed Data Stream

机译:分布式数据流频繁闭合模式挖掘算法研究

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new algorithm of mining frequent closed pattern about distributed data stream was proposed. The algorithm bases on the three-layer structure model. First,the leaf-layer nodes overlap the collecting item-sets.Second,the middle A-layer nodes expurgate the infrequent items of overlapped items again and again,and then insert them into prefix-sub-tree. Third,the top-layer nodes and the middle-layer ones answer the clients'request online in feedback way.Analysis and experimental results indicate:This algorithm really resolves the heavy workload between layers and has favorable application prospect.
机译:提出了一种新的分布式数据流频繁闭合模式挖掘算法。该算法基于三层结构模型。首先,叶层节点与收集项集重叠。其次,中间A层节点一次又一次地消除重叠项的不频繁项,然后将其插入前缀子树中。第三,顶层和中间层以反馈的方式在线响应客户的请求。分析和实验结果表明:该算法确实解决了层间繁重的工作量,具有良好的应用前景。

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