Web Log Preprocessing Method Based on Visiting Efficiency
Having analyzed the traditional way to process the visiting pattern of web in detail; we come up with a new method based on users visiting efficiency of web log to deal with the relative problems. The method applies two parameters, interest degree and familiarity degree, to research the web user visiting patterns. Through studying the relationship of the two parameters and some steps we can resolve the coming problems which occupied at the moment of user sessions. Finally, we can carry it out to partition the user sessions according to the stable interest degree and accidental interest degree. In this way, we can attain the clean and effective data source for the web data mining.
Interest Degree Familiarity Degree Preprocessing Web Log Mining
AN Wen WANG Ruyan
College of Computer Shandong Institute of Business and Technology Yantai, P.R.China College of Accounting Shandong Institute of Business and Technology Yantai, P.R.China
国际会议
北京
英文
86-89
2009-11-21（万方平台首次上网日期，不代表论文的发表时间）