Title :
Web Log Preprocessing Method Based on Visiting Efficiency
Author :
An Wen ; Wang Ruyan
Author_Institution :
Coll. of Comput., Shandong Inst. of Bus. & Technol., Yantai, China
Abstract :
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.
Keywords :
Internet; data mining; pattern classification; Web data mining; Web log preprocessing method; Web user visiting pattern; accidental interest degree; familiarity degree; stable interest degree; users Web visiting efficiency; Data mining; Educational institutions; Information analysis; Information resources; Pattern analysis; Time series analysis; Web design; Web mining; Web pages; Web server; Familiarity Degree; Interest Degree; Preprocessing; Web Log Mining;
Conference_Titel :
Cooperation and Promotion of Information Resources in Science and Technology, 2009. COINFO '09. Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3898-3
DOI :
10.1109/COINFO.2009.71
