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在单个图中挖掘频繁子图的支持计算

Support Computation for Mining Frequent Subgraphs in a Single Graph
课程网址: http://videolectures.net/mlg07_fiedler_scfmfs/  
主讲教师: Mathias Fiedler
开课单位: 欧洲软计算中心
开课时间: 2007-09-05
课程语种: 英语
中文简介:
定义子图的支持(或频率)是给出图表数据库时很简单:它只是数字数据库中包含子图的图表。 然而,如果输入是一个大图,则很难找到适当的支持定义。 在本文中我们研究了核心问题,即子图的重叠嵌入,详细并建议依赖于不存在的定义等效的祖先嵌入,以保证由此产生的支持是反单调的。 我们证明了这个属性描述计算以这种方式定义的支持的方法。
课程简介: Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database that contain the subgraph. However, if the input is one large graph, it is surprisingly difficult to find an appropriate support definition. In this paper we study the core problem, namely overlapping embeddings of the subgraph, in detail and suggest a definition that relies on the non-existence of equivalent ancestor embeddings in order to guarantee that the resulting support is anti-monotone. We prove this property and describe a method to compute the support defined in this way.
关 键 词: 定义子图; 图表数据库; 支持定义
课程来源: 视频讲座网
最后编审: 2019-06-30:cjy
阅读次数: 32