NEW CLASS RECOGNITION BASED ON SUPPORT VECTOR DATA DESCRIPTION

摘要：

In online classification tasks, such as credit evaluation,spam detection and intrusion detection, new class of patterns sometimes emerges. In order to adapt classifier to the change of distribution, recognition of new class becomes a key problem. To deal with this problem, this paper proposes a novel method based on support vector data description. This method detects and recognizes new class by the description of known classes. The experimental results show that the proposed method can recognize new class well, and on the basis of this technology online classifier is adapted to the change well.

关键词： New Class Recognition Support Vector Data Description Adaptive Classification

作者: MAO-QIANG XIE HAO JIANG YA-LOU HUANG YANG SUN

作者单位: College of Software, Nankai University, Tianjin 300071, China;College of Information Technologies an College of Software, Nankai University, Tianjin 300071, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1149-1152

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）