Outliers Detection based on Negative Selection Algorithm

摘要：

This paper presents a new approach to detect outliers. This paper detailedly introduces how to apply negative selection algorithm in outliers detection. Firstly, the maximum distance among all points is divided into a certain number of ranges which are encoded to binary codes. And then the distances between each point and a certain number (for example 20) points nearby are encoded to binary string based on the binary codes which were presented. Negative selection algorithm based on binary strings is applied to detect outliers. Experiments on random data to evaluate the effectiveness of the approach are presented. Experiments show that this approach can detect outliers effectively.

作者: Zhang Xiaoling Wen Jun Wan XiaoFeng

作者单位: Computer Science and Engineering/ University of Electronic Science and Technology of China Chengdu, China

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 112-114

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）