本文采用一种基于蚁群算法的分类规则挖掘算法，其特征实质上是一种序列覆盖算法。
The paper proposed an algorithm based on ant colony algorithm for mining classification rule from the Student Scores Management Database.
本文对时间序列模式、分类规则和关联规则挖掘的方法进行了深入的研究。
In this thesis, the thorough study of time serial model, classification rule and association rule is made.
时间序列模式、分类规则和关联规则挖掘是当前数据挖掘研究中一个热点。
It is a hotspot that the data mining of time serial model, classify rule, association rule in the data mining study currently.
提取网络入侵模式所用的主要有分类算法、关联规则算法和序列规则算法等。
Major methods to distill network intrusion mode are class algorithm, association rule algorithm and frequent episodes algorithm.
再利用平均CSR匹配置信度和一个规则匹配算法构建有效的序列数据分类器。
Then an effective sequential data classifier is constructed using average CSR matching confidence and a rule-matching algorithm.
对常用于入侵检测系统中的数据挖掘技术如关联规则，序列分析，分类分析等进行了分析。
It also discusses some techniques of data mining such as mining association rules, mining sequential patterns and data classification.
对常用于入侵检测系统中的数据挖掘技术如关联规则，序列分析，分类分析等进行了分析。
It also discusses some techniques of data mining such as mining association rules, mining sequential patterns and data classification.
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