Mining Negative Association Rules
ISCC '02 Proceedings of the Seventh International Symposium on Computers and Communications (ISCC'02)
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Efficient mining of both positive and negative association rules
ACM Transactions on Information Systems (TOIS)
Mining positive and negative association rules: an approach for confined rules
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
The Influence of Indirect Association Rules on Recommendation Ranking Lists
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
User-induced links in collaborative tagging systems
Proceedings of the 18th ACM conference on Information and knowledge management
Filtering of web recommendation lists using positive and negative usage patterns
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
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One of the basic methods of web usage mining are association rules that indicate relationships among common use of web pages. Positive and confined negative association rules are the components of the new quality measures: Positive and Negative Quality function, respectively. These functions are used to evaluate the quality of hyperlinks existing on web pages. A number of statistics and the expert validation revealed the usefulness of association rules for the assessment of hyperlink usability.