基于Web使用挖掘的实时聚类算法

本文讨论了基于Web使用挖掘的Web个性化技术，针对个性化系统的功能及特点，论述了相关数据采集、数据预处理技术和模式发现及其在个性化服务中的应用，提出了一个关于个性化系统的实时聚类算法.实验结果表明，该算法不仅有效，而且具有较高的准确度，能适应用户短期浏览的变化.

A real-time clustering algorithm based on Web usage mining

This paper is concerned with the Web personalization technology based on Web usage mining, Correlative data mining, data preprocessing and mode discovering with applications in the personalization service are discussed and a real-time clustering algorithm for personalization system is suggested. Finally, experimental results show that the algorithm is efficient and highly precise, which can adapt to short-term changes of users behavior.