摘要
论文首先对一种基于关联规则分类的算法做出了分析。然后对算法中的类关联规则的提取方法进行了改进,得到了一种新的基于关联规则分类的算法。并结合棉花病虫害数据运行的结果对两种算法的运行效率和实用性进行了比较。
From a concrete analysis of the classified algorithm based on association rule,we make for improvement of extraction method in class association rules and a new algorithm based on classification of association rules is acquired in this paper.Then a comparison of efficiency and practicability is made between the two algorithms according to the operation result of cotton disease data.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第10期155-157,203,共4页
Computer Engineering and Applications
基金
国家863高技术研究发展计划资助项目(编号:2003AA118070)
关键词
关联规则
类关联规则
FP-树
分类
association rule, class association rules, Frequent-pattern tree, classification
