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Received:June 28, 2009
Received:June 28, 2009
中文摘要: 垃圾短信问题越来越严重，为了识别中文垃圾短信，将人工免疫系统的方法引入中文垃圾短信识别领域。针对中文短信息系统本身的一些特点，提出了适应这些特点的人工免疫算法，并在实验中得到验证。实验结果表明，基于人工免疫的中文垃圾短信识别方法具有较低的错误否定率和错误肯定率。
Abstract:Junk SMS problem is getting worse. To identify Chinese junk SMS, an artificial immune system is introduced to areas of the Chinese junk messages recognition. In light of Chinese SMS characteristics, this paper proposes the artificial immune algorithm, which is verified in experiments. The experimental results show that the Chinese junk SMS method based on artificial immune recognition has a lower false negative rate and false positive rate.
文章编号： 中图分类号： 文献标志码：
基金项目:台州广播电视大学课题(08KT-012)
| Author Name | Affiliation |
| XU Jia | 华东师范大学 信息科学技术学院 上海 200241 |
| ZHANG Wei |
| Author Name | Affiliation |
| XU Jia | 华东师范大学 信息科学技术学院 上海 200241 |
| ZHANG Wei |
引用文本：
徐佳,张卫.基于人工免疫的中文垃圾短信识别.计算机系统应用,2010,19(3):166-170
XU Jia,ZHANG Wei.Recognition of Chinese Junk SMS Based on Artificial Immune.COMPUTER SYSTEMS APPLICATIONS,2010,19(3):166-170
徐佳,张卫.基于人工免疫的中文垃圾短信识别.计算机系统应用,2010,19(3):166-170
XU Jia,ZHANG Wei.Recognition of Chinese Junk SMS Based on Artificial Immune.COMPUTER SYSTEMS APPLICATIONS,2010,19(3):166-170
