摘要
连续数值属性的离散化是粒计算理论应用的重要步骤。首先对目前的离散化算法进行分类讨论,提出区间粒的概念,融合熵理论定义区间粒的粒度,进而提出基于粒计算的连续数值属性的离散化算法,并将该算法应用于入侵检测过程。实验结果表明该算法简洁高效,能够确保入侵检测系统的检测效果。
The discretisation of continuous numerical attributes is an important procedure for the application of granular computing. Some current discretisation algorithms are classified and discussed first. The concept of section granular is proposed. By fusing entropy theory the granularity of section granular is defined, thereby the discretisation algorithm based on granular computing is proposed as well. This algorithm is applied to intrusion detection process. Experimental results show that this algorithm is simple and effective, and can insure the accuracy of intrusion detection system.
出处
《计算机应用与软件》
CSCD
北大核心
2014年第7期252-254,266,共4页
Computer Applications and Software
基金
国家自然科学基金项目(61272097)
上海工程技术大学学科专业建设项目(XKCZ1212)
上海工程技术大学科技发展基金项目(2011XY16
关键词
粒度计算
区间粒
离散化
熵
Granular computing
Section granular
Discretisation
Entropy
