一种融合蚁群算法和主成份分析的数据挖掘方法

A data mining method with combination ant colony algorithm and principal component analysis

为帮助企业在销售资料数据库中,有效地挖掘出有用的规则,结合蚁群算法与主成分因素分析法,提出一套整合性数据挖掘方法.为了证明该方法的效能,收集了一个大型商场的销售数据,并配合其它数据挖掘软件XpertRule Miner与该方法的挖掘结果进行了分析比较.实验结果显示该方法能有效地挖掘出隐藏在数据库中的知识,进而能提供给决策者更有用的信息.

Effectively extracting useful patterns in database would be beneficial for companies to discover practical knowledge in decision making process. This research is to develop a combination data mining method by integrating the concept of Association Rules, along with path finding and Principal Compo- nent Analysis in Ant Theory. This study compares sales data obtained from a large chain store processed in data mining software, XpertRule Miner, to results from the integrated data mining model. Research results show that the developed method can effectively locate and analyze knowledge hidden in the data- base, and to provide more useful information to decision makers.