面向XBRL的DC-Apriori挖掘算法研究

Research on DC-Apriori Algorithm Facing XBRL

XBRL作为一种基于XML的可扩展性商业报告语言,目前已广泛应用于财务系统中。因企业财务数据越来越多,利用数据挖掘方法挖掘出我们需要的信息显得极为重要。实现一种面向XBRL的DC-Apriori挖掘算法,实验表明:在X-Hive数据库中采用DC-Apriori算法进行XBRL关联规则挖的方法是行之有效的,并且挖掘效率高于传统Apriori算法的效率。

XBRL is a kind of extensible business reporting language which based on XML, it has been widely used in the financial system. More and more enterprise financial data bring us to use the method of data mining to dig out the important information we need. Puts forward a DCApriori algorithm facing XBRL, the experiment shows that using DC-Apriori algorithm in X-Hive to excavate XBRL data is feasible and effective, and the efficiency of DC-Apriori algorithm is higher than Apriori algorithm.