Abstract: This study is conducted to explore a new kind of mining method based on Web access information and its algorithm. This paper analyzes general Web mining and knowledge discovery method, and summarizes the limitation of common data mining method based on Weblog access information. On this basis, it puts forward a new approach of Web access information mining based on self-built access information database, and expatiates on the description method of knowledge warehouse navigation page sets and user access action, and the mining algorithm based on access database. This new method is simpler, more flexible and efficient.

Key words: data mining, knowledge discovery, access information, knowledge management

摘要： 旨在探讨一种新的Web访问信息挖掘方法及其算法。分析一般知识发现与Web挖掘方法，提出常见的基于Weblog访问信息的数据挖掘方法存在的局限性，在此基础之上，提出了一种基于自建访问信息收集库的Web访问信息挖掘方法，详细阐述了其中的知识仓库导航页面集与用户访问行为的描述方法，以及访问事务库的挖掘算法。该新方法具有更简便、灵活、高效的特点。

关键词: 数据挖掘, 知识发现, 访问信息, 知识管理