Method of Web Log Preprocessing 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
LIU Bingxiang LI Hailin WANG Hua
Information engineering Institute，Jingdezhen Ceramic Institute，Jingdezhen，P.R.China，333403
国际会议
2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)
青岛
英文
1-5
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）