数据挖掘在数据分析中的应用

The Application of Data Mining in Data Analysis

本文针对运用数据挖掘方法构建规则库的过程进行阐述,对选取的算法进行介绍及确定其中的可变量,并着重解决方法运用过程中面临的若干问题,其中包括审计数据的收集、格式转换、规则集合并、规则匹配等。通过对挖掘结果的分析可以看出,将数据挖掘技术应用到数据分析中,大大提高了入侵检测系统的可靠性和智能化程度。

This paper elaborates the process of constructing the rule bank with the application of data mining. It introduces the selected algorithm, the identification of the variables and the solution to the problems of the application including the collection of data auditing, format conversion, the combination of rule sets, rule matching, etc. It is found from the analysis of the result of mining that the application of data mining in data analysis improves the reliability and intellectualization of the intrusion detection system.