A review and comparison of six reasoning methods
Fuzzy Sets and Systems
User interface directions for the Web
Communications of the ACM
Adaptive web sites: cluster mining and conceptual clustering for index page synthesis
Adaptive web sites: cluster mining and conceptual clustering for index page synthesis
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
LSISOM – A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections
Neural Processing Letters
Filtering multilingual Web content using fuzzy logic and self-organizing maps
Neural Computing and Applications
Editorial: special issue on web content mining
ACM SIGKDD Explorations Newsletter
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Improving Web Site Content Using a Concept-Based Knowledge Discovery Process
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Web site off-line structure reconfiguration: a web user browsing analysis
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Conceptual classification to improve a web site content
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
Virtual Communities of Practice's Purpose Evolution Analysis Using a Concept-Based Mining Approach
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
A new dissimilarity measure for online social networks moderation
Web Intelligence and Agent Systems - Web Intelligence and Communities
Hi-index | 0.00 |
Todays' WUM techniques allow to perform the mining process based on lists of words, stems, and visitors' sessions. Although, results are (generally) far from visitors' real goals or motivations when browsing a web site. Thus, extraction of useful modifications of site organization or contents are difficult to obtain. It is needed a way to enhance the WUM process, to allow better results, closer to visitors' real preferences and goals. It was developed a Semantic WUM process, which uses a concept-based approach to add semantics into the mining process. The solution proposed, was applied to a real web site to produce off-line enhancements of contents and structure. The method was compared with four different WUM methods. Afterwards, the quality of enhancements was evaluated using a survey to 100 subjects, proving the effectiveness of the proposal.