TY  - JOUR
T1  - Discovering Frequent Patterns and Trends by Applying Web Mining Technology in Web Log Data
AU - , C. Umapathi AU - , J. Raja 
JO  - International Journal of Soft Computing
VL  - 3
IS  - 2
SP  - 99
EP  - 105
PY  - 2008
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2008.99.105
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2008.99.105
KW  - Pattern mining
KW  -sequence mining
KW  -graph mining
KW  -web log mining
KW  -automata
AB  - The expansion of the World Wide Web has resulted in a large amount of data that is now freely available for user access. The data have to be managed and organized in such a way that the user can access them efficiently. For this reason the application of data mining techniques on the Web is now the focus of an increasing number of  researchers. One key issue is the investigation of user navigational behavior from different aspects. For this reason different types of data mining techniques can be applied on the log file collected on the servers. In this study 3 of the most important approaches are introduced for web log mining. All the 3 methods are based on the frequent pattern mining approach. The 3 types of patterns that can be used for obtain useful information about the navigational behavior of the users are page set, page sequence and page graph mining.
ER  -