一种面向XML文档的模糊关联规则算法

随着大量的XML数据的出现，给数据挖掘领域提出了新的挑战。传统数据挖掘算法是面向关系数据库和数据仓库的，不能直接用于XML文档的数据挖掘。本文从模糊集的基本理论入手，通过定义模糊概念软化属性论域的划分边界，提出了一种面向XML数据的模糊关联规则挖掘方法，并且使用Java语言实现，实验结果证明本文算法是正确的。

A fuzzy association rules Algorithm for XML document

With the emergence of a large number of XML data, the field of data mining raises new challenges. Traditional data mining algorithm is oriented relational database and data warehouse, and can not be directly used for data mining in XML documents. From the basic theory of fuzzy sets, by defining the softening properties of the domain partition boundary, a fuzzy association rules oriented XML data mining is proposed, and implement it used the Java language. Experimental results show that the algorithm is correct.