摘要
针对现行数据集分割方法中的不足,从信息学的角度出发,引用信息熵理论,提出了一种简单可行的数据集分割方法,即选择使数据子集的总体熵较小的分割方式,实验结果证明了这种方法的有效性。
As for the disadvantage of the current way to separate the large data set to a group of ones,from the perspective of informatics,advanced a new way to separate the large data set to a group of ones based on entropy,namely select intersected quomodo to less macro- Entropy of Data Set ,The results of the experiment prove this method is validity.
作者
苗卿
单立新
裘昱
MIAO Qing,SHAN Li-Xin,QIU Yu (Artillery Academy,Hefei 230031,China)
出处
《电脑知识与技术》
2007年第3期1193-1194,共2页
Computer Knowledge and Technology
关键词
信息熵
数据集分割
入侵检测
Entropy
Segmentation of Data Set
Intrusion Detection