DocumentCode
2137443
Title
Automatically identify the website´s key-Cookies for merging sessions
Author
Yue Li ; Meng Zhou ; Dehua Chen
Author_Institution
Sch. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China
fYear
2013
fDate
23-25 July 2013
Firstpage
782
Lastpage
786
Abstract
User session is the key part of web log processing. Due to incomplete sessions, we should compare each Cookie pair for the session to be merged. But only a few Cookie pairs can be used by websites for identification. In this paper, two algorithms are proposed to identify user-Cookies and terminal-Cookies. With these key-Cookies the process of session merging is improved.
Keywords
Web sites; data mining; Web log mining; Web log processing; Website key-cookies identification; cookie pairs; session merging process; terminal-cookies identification; user-cookies identification; Algorithm design and analysis; Browsers; Context; Data mining; Educational institutions; Electronic mail; Merging; automatically identify; terminalCookies; user-Cookies;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/ICNC.2013.6818081
Filename
6818081
Link To Document