Constructing membership functions using statistical data
Fuzzy Sets and Systems
Note on maxmin &mgr;/E estimation
Fuzzy Sets and Systems
Using path profiles to predict HTTP requests
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
ACM SIGKDD Explorations Newsletter
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Web page ranking based on fuzzy and learning automata
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Mining Preferred Traversal Paths with HITS
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
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In this paper, the linguistic evaluations and time duration on web pages are characterized as fuzzy variables in the web mining of preferred traversal patterns. The concept of fuzzy web page preference function which is a function of fuzzy linguistic evaluations, fuzzy time duration and access frequency is proposed to replace the traditional concept of confidence. The fuzzy web page preference function can be used as a judgment criterion to reveal users interest and preference. The structure of Frequent Link and Access Tree (FLaAT) which stores all user access information is introduced to avoid the loss of important information. Furthermore, an algorithm based on the fuzzy web page preference function is developed for mining users preferred traversal patterns from the structure of FLaAT. Finally an example is provided to illustrate the proposed approach.