摘要
提出了一种基于多连续属性的离散化改进算法,在信息增益的离散化算法基础上,将离散化结果加以修正,并结合实例,详细说明该改进算法能更准确的判断出噪声数据、异常数据和错误数据,实现对这些数据的区别对待。
An improved algorithm for multi continuous attributes discretization was proposed paper. This algorithm amended the result of discretization which based on Throug the examples, it can be seen the detailed description of the algorithm rately determine the noise data, abnormal data and error data, and treat these the information in this gain. which can more aecudata in different ways.
出处
《江西科学》
2009年第2期251-254,共4页
Jiangxi Science
关键词
离散化
多连续属性
信息增益
Discretization, Continuous multi-attributes, Information gain
