网络访问行为关联规则提取的研究与设计

RESEARCH ON MINING MULTI-DIMENSION ASSOCIATION RULES ABOUT NETWORK ACCESSING BEHAVIOR

首先介绍了用户网络访问行为分析系统的框架,然后针对系统需要解决的提取用户访问模式信息中的多维多值关联规则的问题,对传统的关联规则挖掘方法进行了扩充和改进。改进后的方法能够结合系统设计的属性参数及概念划分要求,提取有价值的关联规则,有效反映用户的访问行为模式。

The framework of the user network accessing behavior system is described, and expansion and improvement are made to the traditional method of association rules mining in order to resolve the problem of multi-dimensional quantitative association rules mining. Combi- ning with the design attribute parameters and concept partitions, the improved method can extract valuable association rules and reflect users network accessing behavior mode effectively.