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节点标签控制图语法规则的引入

Induction of Node Label Controlled Graph Grammar Rules
课程网址: http://videolectures.net/mlg08_blockeel_inl/  
主讲教师: Hendrik Blockeel
开课单位: 鲁汶大学
开课时间: 2008-08-25
课程语种: 英语
中文简介:
之前已经提出了用于从图形集合中引入图形语法的算法。 一类重要的算法是基于Subdue图挖掘系统的算法。 但Subdue及其衍生物所学到的规则并不适合任何经过深入研究的图形语法形式。 在本文中,我们讨论了如何使用类似Subdue的算法在NLC语法的上下文中工作,NLC语法是一类重要的节点替换图语法。 更具体地说,我们展示了如果给定一组子图的出现,可以引入NLC语法规则,使得可以由它生成给定的事件。
课程简介: Algorithms for inducing graph grammars from sets of graphs have been proposed before. An important class of such algorithms are those based on the Subdue graph mining system. But the rules learned by Subdue and its derivatives do not fit easily in any of the well-studied graph grammars formalisms. In this paper, we discuss how Subdue-like algorithms could be made to work in the context of NLC grammars, an important class of node replacement graph grammars. More specifically, we show how, given a set of occurrences of a subgraph, an NLC grammar rule can be induced such that the given occurrences could have been generated by it.
关 键 词: 图形语法; 节点替换图语法; 图挖掘系统
课程来源: 视频讲座网
最后编审: 2019-06-30:cjy
阅读次数: 35