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STEPWISE ASSOCIATION RULE EXTRACTION METHOD BASED ON BOOLEAN EXPRESSION FOR DYNAMIC DATA
STEPWISE ASSOCIATION RULE EXTRACTION METHOD BASED ON BOOLEAN EXPRESSION FOR DYNAMIC DATA
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机译:基于布尔表达式的动态数据逐步关联规则提取方法
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摘要
The present invention relates to an algorithm for expressing and describing preference or history of a user modeled as an aggregate form based on a boolean expression form with a higher expressiveness than a set, and extracting a conclusion set corresponding to the same. Particularly, a dynamic data set that is frequently updated or has a short update period is a target to extract association rule, and a stepwise association rule extraction methodology is proposed to quickly provide a conclusion set for frequently changing large data. Therefore, the present invention expands a type of a premise Q expressing preference or history of a user from the existing set to boolean expressions so as to more clearly reflect state and situation of the user and to provide a conclusion R corresponding to the premise Q expressed in detail, which means extension and improvement of the existing association rule extraction methodology. Also, unlike existing algorithms for static data, the present invention is for dynamically changing data. Therefore, it is possible to have a high commercial competitiveness not only in traditional association rule utilization fields but also in fields that process data changing in real-time such as SNS.;COPYRIGHT KIPO 2017
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