计算机科学 ›› 2013, Vol. 40 ›› Issue (Z6): 133-135.
史志才,夏永祥,周金祖
SHI Zhi-cai,XIA Yong-xiang and ZHOU Jin-zu
摘要: 连续数值属性的离散化是粒计算理论应用的重要步骤。首先对目前的离散化算法进行了分类讨论,提出了区间粒的概念,融合熵理论定义了区间粒的粒度,进而提出了基于粒计算的连续数值属性的离散化算法,并将该算法应用于入侵检测过程;实验结果表明该算法简洁高效,能够确保入侵检测系统的检测效果。
[1] 王国胤,张清华,胡军.粒计算研究综述[J].职能系统学报,2007,2(6):8-26 [2] 张钹,张铃.粒计算未来发展方向探讨[J].重庆邮电大学学报,2010,21(5):538-540 [3] Fayyad U,Irani K.Multi-interval discretization of continuous-valued attributes for classification learning[C]∥Proceedings of the 13th International Joint Conference on Artificial Intelligence.San Mateo:Morgan Kaufmann Publisher,1993:1022-1027 [4] Kerber R C.Discretization of Numeric Attributes[C]∥Procee-dings of the 10th National Conference on Artificial Intelligence.MIT Press,1992:123-128 [5] Xia Yong-xiang,Shi Zhi-cai.An incremental SVM for intrusion detection based on key feature selection[C]∥Proceedings of the Third International Symposium on Intelligent Information Technology Application.IEEE Press,2009:205-208 |
No related articles found! |
|