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METHOD FOR GENERATING ASSOCIATION RULES FROM DATA STREAM AND DATA MINING SYSTEM

机译:从数据流生成关联规则的方法和数据挖掘系统

摘要

A kind of method, for from data flow generate correlation rule extract and data digging system from data flow be provided to effectively production correlation rule extract, be include generate transaction indefinite data add up to. Data digging system adds new node (130) and updates the information of node corresponding with project set according to the appearance frequency and project set of project set comprising in the transaction of generation. The frequent item set that data digging system selection is compared with minimum support ratio combines (135,140), has the supporting rate on project set corresponding with each node of current potential tree.
机译:一种方法,为从数据流生成关联规则提取和数据挖掘数据挖掘系统提供有效的生产关联规则提取,包括将生成事务不确定的数据相加。数据挖掘系统根据生成交易中包括的项目集的出现频率和项目集,添加新节点(130)并更新与项目集相对应的节点的信息。数据挖掘系统选择与最小支持率相结合的频繁项集(135,140),对项目集的支持率与当前潜力树的每个节点相对应。

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