【摘要】 提出了一种基于人工免疫系统(AIS)的垃圾邮件过滤机制。将邮件文本向量空间化并结合免疫识别算法进行过滤。对机制进行了建模与算法描述,对检测器的性能和系统的学习更新进行了向量空间上r模拟仿真并与Na ve Bayes方法进行比较。研究结果说明将人工免疫系统应用于垃圾邮件处理有动态性和自适应强的优点,同时为特定领域的信息分类问题提供了一种参考机制。更多还原

【Abstract】 Based on artificial immune systems,an anti-span E-mail filtering system,called EIS,was developed.The mechanism and algorithms of this system were described.The simulation results show that it performs as well as Nave Bayes system,especially on recall,and is fit for information classification.更多还原