连续属性空间上的规则学习算法

A rule learning algorithm on continuous attributes space

研究了连续属性空间离散化问题 ,将信息熵函数与无穷范数的概念应用到连续属性离散化问题 ,提出了基于信息熵的属性空间极小化算法 .在此基础上 ,提出了连续属性空间上的规则学习算法 .并给出了数值实验结果 .

Studies the purpose and importance of studying Rule Learning algorithm on continuous attributes space, and then the problem to divide continuous attributes space, the application of information entropy and infinite normed to the problem of dividing continuous attribute space and presents a new algorithm of dividing continuous attribute space based on the function of information entropy and a Rule Learning algorithm on continuous attributes space and gives the results of the experiments.