摘要
针对现有入侵检测技术的不足和目前关联规则算法的研究,结合网络的特点,提出了一种适合入侵检测的数据挖掘算法—基于矩阵结构的模糊关联规则数据挖掘算法。该算法使数据挖掘技术和入侵检测技术融合在了一起,由于矩阵结构的模糊关联规则可以有效地减少关联规则在生成频集的过程中产生过多候选集,从而提高了入侵检测的效率。
For existing intrusion detection techniques and the current lack of association roles algorithm, combined ruth the characteristics of the network presents a data mining for intrusion detection algorithms - based on the matrix structure of the fuzzy association rules data mining algorithms. The algorithm combines data mining and intrusion detection technology and thus improves the efficiency of intrusion in that the fuzzy association rules of detection matrix structure can effectively reduee the additional candidate sets generated in the process of generating frequency sets under association piles.
出处
《贵阳学院学报（自然科学版）》
2010年第2期28-30,44,共4页
Journal of Guiyang University：Natural Sciences
