蚁群算法是一种模拟进化算法，在挖掘特定用户群感兴趣的访问模式时，采用蚁群算法得到的模式会比较客观准确。
Ant colony algorithm is one of the simulation evolution algorithms, when mining the visiting pattern of the special crowd interested in, the pattern we got can be objective a.
然后总结了近年来蚁群算法在组合优化、数据挖掘等领域的应用进展；
Then, the recent applications of the ant colony algorithm in discrete optimization, data mining and other field are summarized.
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.
基于蚁群算法的聚类算法已经在当前的数据挖掘研究中得到应用。
The ant - based clustering algorithm has currently applications in the data mining community.
基于分布式数据挖掘技术，提出了一种基于自适应蚁群算法的分布式分类规则算法。
A distributed classification rule mining based on ant colony algorithm is proposed, which is based on distributed database structure.
基于分布式数据挖掘技术，提出了一种基于自适应蚁群算法的分布式分类规则算法。
A distributed classification rule mining based on ant colony algorithm is proposed, which is based on distributed database structure.
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