关联分类算法的研究与实现

The research and realization in classification based on association rules

关联分类算法是对数据进行分析处理中的一个分支。文中结合了关联分类CBA算法,针对数据集样本进行了详细分析。首先,对关联分类中的CBA算法进行了研究,并同步对其实现的代码进行了编写。随后,结合相关数据,运行相关算法进行实现与分析。最终,对该样本数据进行了有效地分类和预测,也完成了算法的有效实现与分析。

Classification algorithm based on association rules is a branch of data analysis and processing. In this paper,the CBA algorithm is used to analyze the detailed sample data. First of all,the CBA algorithm is studied,and the code of CBA algorithm is realized synchronously. After that,combined with the relevant data,it is designed to run the CBA algorithm for analysis. Finally,the sample data are effectively classified and predicted,the algorithm implementation and analysis are also completed.