基于冰冻结构的XML文档聚类研究

为了挖掘XML(Extensible Markup Language)文档在历史变化过程中不经常发生变化的结构所蕴含的知识,给出了发现冰冻结构的方法,使用一组冰冻结构组成的文档向量模型代表一个XML文档,并使用加权Jaccard系数作为相似度,利用基于XML文档历史变化过程中相对稳定的冰冻结构对XML文档进行聚类。经过实验证明,基于冰冻结构能够将XML进行有效的聚类,聚类后每簇中的XML文档具有相似的不经常变化结构。

XML Domument Clustering Research Based on Weighted Cosine Similarity

In order to mine knowledge hiden in the structures that does not often changed in the XML(Extensible Markup Language) document changing history,this paper proposes a method to fiund the frozen structures,then uses a document-vector model composition by a group of frozen structures to represent an XML document,and uses the weighted Jaccard coefficient as similarity,then cluster XML documents based on the relative stable frozen structures which found in the XML document historical change process.Through exper...