摘要
Web技术迅速地发展,如何从庞杂的信息中获取知识已经成为人们迫切希望解决的问题之一。通过对Web日志文件的挖掘可以发现用户的频繁访问模式,找出用户的偏爱度和满意度,进行个性化服务或者帮助站点管理者进行站点的管理和结构。针对如何发现用户的频繁偏爱模式这个问题,本文综合了用户浏览时间和浏览页面的频度这两个决定因素,提出了基于选择偏爱度的使用模式挖掘算法(SPM算法),该算法在一定程度上提高了使用模式挖掘算法的覆盖率和准确率。
With the rapid development of Web technology,. It is impending demand for users to get knowledge from the huge web information.. Data Mining of web logs can be used to discover the patterns of visitors frequent visiting mode, to find out visitors preference and satisfaction, to give the web personalization service and to help the administrators adjust the web sites＇ structures and managements. On how to discover visitors＇ frequent preferred mode, Combining the two factors of visiting time and frequency of visiting certain pages, this paper gives out an algorithm in data mining based on the support and preference （SPM algorithm） , this algorithm improves the coverage and accuracy of mode mining process.
出处
《微计算机应用》
2008年第4期11-14,共4页
Microcomputer Applications
基金
合肥工业大学科学研究发展基金资助项目(062101f)
