Model for optimising the execution of anti-spam filters

David Ruano-Ordás
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Abstract

During last years, the combination of several filtering techniques for the development of anti-spam systems has gained a enormous popularity. However, although the accuracy achieved by these models has increased considerably, its use has entailed the emergence of new challenges such as the need to reduce the excessive use of computational resources, the increase of filtering speed and the adjustment of the weights used for the combination of several filtering techniques. In order to achieve this goal we have been refined several aspects including: (i) the design and development of small technical improvements to increase the overall performance of the filter, (ii) application of genetic algorithms to increase filtering accuracy and (iii) the use of scheduling algorithms to improve filtering throughput.
用于优化反垃圾邮件过滤器执行的模型
在过去几年中,将几种过滤技术结合起来开发反垃圾邮件系统获得了极大的普及。然而,尽管这些模型的准确性大大提高,但其使用也带来了新的挑战,例如需要减少对计算资源的过度使用,增加过滤速度以及调整用于几种过滤技术组合的权重。为了实现这一目标,我们在几个方面进行了改进,包括:(i)设计和开发小的技术改进,以提高过滤器的整体性能,(ii)应用遗传算法来提高过滤精度,(iii)使用调度算法来提高过滤吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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