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METHOD FOR MINING FREQUENT SUB-GRAPHS WITH SUPPORT AFFINITIES

机译:具有支持亲和力的频率子图挖掘方法

摘要

The present invention relates to a method for mining frequent subgraphs having support association wherein the method comprises the step of grasping the extracted degree of the support association of the subgraph when the subgraph corresponding to each step of expansion is a support numerical value which is equal or more than a configured minimum support threshold while the subgraph undergoes gradual expansion from one point; the step of selecting the meaningless subgraph according to the degree the support association; and the step of eliminating upper graph information extracted from the subgraph and the subgraph selected with a meaningless pattern in a mining process, as such more meaningful graph mining results can be provided to a user, more prompt execution time can be guaranteed and the amount of memory usage for mining can be efficiently reduced.
机译:本发明涉及一种用于挖掘具有支持关联的频繁子图的方法,其中该方法包括以下步骤:当与每个展开步骤相对应的子图是等于或等于支持数值时,掌握子图的支持关联的提取程度。当子图从一个点逐渐扩展时,超过了配置的最小支持阈值;根据支持关联的程度选择无意义的子图的步骤;以及在挖掘过程中消除从子图和以无意义模式选择的子图中提取的上图信息的步骤,可以为用户提供更有意义的图挖掘结果,可以保证更迅速的执行时间,并且可以可以有效减少挖掘的内存使用量。

著录项

  • 公开/公告号KR101432710B1

    专利类型

  • 公开/公告日2014-09-02

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20120130999

  • 申请日2012-11-19

  • 分类号G06F17;

  • 国家 KR

  • 入库时间 2022-08-21 15:40:16

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