基于频繁偏爱度的使用模式挖掘算法的研究  

Study on the usage mining algorithm based on frequency and preference

作　　者：吴进[1] 宋顺林[1] 王迎春[1] 

机构地区：[1]江苏大学计算机科学与通信工程学院,江苏镇江212013

出　　处：《计算机应用》2006年第10期2425-2426,2429,共3页journal of Computer Applications

基　　金：江苏大学基金资助项目(1283000122)

摘　　要：提出基于频繁偏爱度的使用模式挖掘算法,充分考虑页面停留时间对用户偏爱度的影响,利用ASP.NET和XML来收集用户使用信息,划分为用户事务,挖掘出频繁偏爱使用模式。实验证明:该算法比当前的使用模式挖掘算法计算量明显减小,精确度有所提高,真实的反映了大多数用户的偏爱访问模式。A new usage mining algorithm based on frequency and preference was put forward in this paper. The time spent on the pages was taken as a factor that might influence user＇s Preference, while the traditional algorithms simply regard the frequency as user＇s preference. The algorithm collected data by ASP. NET and XML, divided the data into user sessions, and mined frequent and preferred usage patterns at last. Experimental results show that the algorithm costs less computation and has higher accuracy compared with the traditional algorithms, and really reflects the preferred usage patterns by most users.

关 键 词：频繁偏爱挖掘 WEB使用模式挖掘 ASP.NET XML 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]