基于项目集的关联规则数据挖掘

为了发现项目集中所有的频繁模式,根据关联规则定义及属性,利用Apriori算法实现关联规则的挖掘,挖掘出新的关联规则。可产生清晰有用的结果;通过项目集的关联规则挖掘研究结果既可以广泛应用于各个领域,也可以检验行业内长期形成的知识模式,同时能够发现隐藏的新规律,成为完成数据挖掘任务的一个重要手段。

Date mining of associated rules based on item sets

The research on the data excavating of associated rules is to find all the frequent modes in the item assembly and according to the definition and the attribute of the associated rules, it can be excavated and become a new one. Making use of Apriority algorithm, it realizes the excavating of the associated rules, and such method can produce a clear and useful result. The researching result about the associated rules in the item assembly can also be used in every kind of field; not only to examine the knowledge mode, which has formed in the profession during a long time, but find new rules which are hidden. It is an important way that helps finish the data excavating.