首页> 外国专利> METHOD FOR MINING FREQUENT SUBGRAPH USING MAPREDUCE

METHOD FOR MINING FREQUENT SUBGRAPH USING MAPREDUCE

机译:一种使用映射约简挖掘频率子图的方法

摘要

The present invention relates to a method for mining a frequent subgraph in a large-size graph database. More specifically, the frequent subgraph can be rapidly mined in the large-size graph database by a distributed process on the large-size graph database by using a Mapreduce method; and a computation amount and time for generating a candidate subgraph can be reduced by generating a restored graph for each graph identifier from the frequent subgraph and then generating only the candidate subgraph capable of edge extension from the restored graph.
机译:本发明涉及一种在大型图形数据库中挖掘频繁子图的方法。更具体地说,可以通过使用Mapreduce方法对大型图数据库进行分布式处理,从而在大型图数据库中快速挖掘频繁子图。通过从频繁子图为每个图标识符生成恢复图,然后从恢复图仅生成能够边缘扩展的候选子图,可以减少生成候选子图的计算量和时间。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号