Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Advanced Data Preprocessing for Intersites Web Usage Mining
IEEE Intelligent Systems
Similarity-Based Fuzzy Clustering for User Profiling
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Relational fuzzy approach for mining user profiles
FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
Web User Profiling Using Fuzzy Clustering
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Categorization of Web Users by Fuzzy Clustering
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
A design and implementation of a web server log file analyzer
WSEAS Transactions on Information Science and Applications
Access patterns for robots and humans in web archives
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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In this paper, we present LODAP, a log data preprocessor which is able to extract user sessions starting from the requests stored in the log file of a Web site. LODAP is composed of several modules. A data cleaning module cleans the log file by removing useless records in order to retain only relevant requests encoding the user navigational behaviour. The data structuration module groups the remained requests in user sessions, by using a time-based method. Finally, the data filtering module considerably reduces the size of data concerning the extracted user sessions by deleting the least visited pages and the uninteresting sessions. In addition, a data summarization module creates reports which represent information summaries mined from the analyzed log file and containing the results provided by each module of LODAP. The implemented tool is characterized by a wizard-based interface which guides the analyst during the preprocessing of the log data through a sequence of "panels". Each panel is a graphical window which offers a basic functionality of the processor. Tests on the log files of a specific Web site show that the LODAP tool can effectively reduce the log dataset size and identify significant user sessions.