基于关联规则的日志分析系统的设计与实现

Weblog Analysis System Implemented on Association Rule

网上广告势必成为中国广告业不可取代的部分,广告人总是期望广告能获得最好的效果.为此,本文设计并实现了一个基于关联规则数据挖掘的日志分析系统,数据挖掘引擎在实现过程中针对挖掘数据的特点对Apriori算法进行了改进,并通过仿真数据库对挖掘结果进行了验证,日志分析系统获得的“知识”可以直接用于改善Web的信息服务.

In the market of china advertising,there is no doubt that advertisements by internet will play an indispensable roll in the near future.Advertisers all focus on how to gain the greatest efficiency.In this paper a Weblog analysis system was implemented mainly based on association rule,and the Apriori algorithms was improved.It was tested by a manual database.The knowledge provided by the system can be used directly to improve the information services of web.