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Mining Maximal Frequently Changing Subtree Patterns from XML Documents

机译:从XML文档中挖掘最大频繁更改的子树模式

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Due to the dynamic nature of online information, XML documents typically evolve over time. The change of the data values or structures of an XML document may exhibit some particular patterns. In this paper, we focus on the sequence of changes to the structures of an XML document to find out which subtrees in the XML structure frequently change together, which we call Frequently Changing Subtree Patterns (FCSP). In order to keep the discovered patterns more concise, we further define the problem of mining maximal FCSPs. An algorithm derived from the FP-growth is developed to mine the set of maximal FCSPs. Experiment results show that our algorithm is substantially faster than the naive algorithm and it scales well with respect to the size of the XML structure.
机译:由于在线信息的动态性质,XML文档通常会随着时间的推移而发展。 XML文档的数据值或结构的更改可能表现出某些特定的模式。在本文中,我们着眼于XML文档结构的更改顺序,以找出XML结构中哪些子树经常一起更改,我们将其称为“频繁更改子树模式”(FCSP)。为了使发现的模式更简洁,我们进一步定义了挖掘最大FCSP的问题。开发了从FP增长派生的算法来挖掘最大FCSP的集合。实验结果表明,我们的算法比朴素算法快得多,并且就XML结构的大小而言,它的伸缩性很好。

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