TY  - JOUR
T1  - Efficient Algorithm to Improve the Accuracy of Sessionizers in Web Usage Analysis
AU - , Meera Gandhi AU - , S.K. Srivatsa 
JO  - Journal of Engineering and Applied Sciences
VL  - 1
IS  - 4
SP  - 400
EP  - 405
PY  - 2006
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2006.400.405
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2006.400.405
KW  - Web mining
KW  -web usage mining
KW  -session reconstruction
KW  -heuristics
AB  - Web usage mining plays an important role in the personalization of Web services, adaptation of Web sites and  the improvement of Web server performance. It applies data mining techniques to discover Web access patterns from Web usage data. In order to discover access patterns, Web usage data is reconstructed into sessions with or without user identification. However, not all Web server logs contain complete information for constructing user sessions. It has been proposed three extensions to heuristics in order to improve their performance. This study describes improved statistical-based time oriented heuristics for the reconstruction of user sessions from a server log. The improvement caused by using the heuristics can thus be ascertained by multiple trials with same data set.
ER  -