New class recognition based on support vector data description

被引：0
|
作者：
Xie, Mao-Qiang [1 ,2 ]
Jiang, Hao [1 ]
Huang, Ya-Lou [1 ]
Sun, Yang [1 ]
机构：
[1] Nankai Univ, Coll Software, Tianjin 300071, Peoples R China
[2] Coll Informat Technol & Sci, Tianjin 300071, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
new class recognition; Support Vector Data Description; adaptive classification;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：1149 / +
页数：2
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