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
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;
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/ICNC.2013.6818081
