XML数据集中挖掘关联规划算法的比较

A Comparison Between Mining Association Rule Algorithms in XML Data Sets

文章用Java语言实现了关联规则挖掘的两个算法FP-growth和Apriori算法,将这两个算法应用于用XML表示的实验数据中,实现了从XML数据库中直接挖掘关联规则,并与基于XQuery实现的Apriori算法进行了性能比较。

This paper proposes a framework for association rule mining on XML data. It presents a Java- based implementation of the apriori and the FP growth algorithms for this task and compares their performances, and also the performance of our implementation with an XQuery-based implementation.