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METHOD FOR MINING IMPORTANT PATTERN OF HIGH RANK K, DEVICE FOR PERFORMING SAME, AND RECORDING MEDIUM STORING SAME

机译:挖掘高等级K重要图形的方法,执行相同功能的设备以及记录相同存储介质的方法

摘要

A method for mining an important pattern of a high rank K comprises: (a) a step of generating a user header table including a generation time, user characteristic information, and a user data link; (b) a step of receiving user data represented by a combination of at least one item from the user header table, performing a data tree visit based on each of the at least one item, and updating a data tree path; and (c) a step of additionally associating the user data as a tail node to a tree end node on the data tree path and sequentially connecting a tail node related to a corresponding user with a corresponding user data link as a start link. Therefore, the method for mining an important pattern of a high rank K can provide average characteristic information for a data group or a transaction to which a corresponding pattern belongs by mining a K number of high-rank important patterns corresponding to a specific time range for the generation time of the user data.;COPYRIGHT KIPO 2017
机译:一种用于挖掘高阶K的重要模式的方法,包括:(a)生成用户头表的步骤,该用户头表包括生成时间,用户特征信息和用户数据链接; (b)从用户头表中接收由至少一项的组合表示的用户数据,基于至少一项中的每一项执行数据树访问,以及更新数据树路径的步骤; (c)另外,将作为尾节点的用户数据与数据树路径上的树结束节点相关联,并依次将与相应用户有关的尾节点与相应的用户数据链路作为开始链路相连接。因此,用于挖掘高等级K的重要模式的方法可以通过挖掘对应于特定时间范围的K数量的高等级重要模式来提供对应模式所属的数据组或交易的平均特征信息。用户数据的生成时间。; COPYRIGHT KIPO 2017

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