Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Relevance feedback and other query modification techniques
Information retrieval
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Vocabulary mining for information retrieval: rough sets and fuzzy sets
Information Processing and Management: an International Journal
Performance measurement in a fuzzy retrieval environment
SIGIR '81 Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval: theoretical issues in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Enabling Concept-Based Relevance Feedback for Information Retrieval on the WWW
IEEE Transactions on Knowledge and Data Engineering
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Knowledge Discovery in Texts: A Definition, and Applications
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
Mining Text Data: Special Features and Patterns
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Mining association rules with improved semantics in medical databases
Artificial Intelligence in Medicine
Mining Text Data: Special Features and Patterns
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Rule identification using ontology while acquiring rules from Web pages
International Journal of Human-Computer Studies
A Hybrid Approach to Ontology Relationship Learning
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
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We present the definition of fuzzy association rules and fuzzy transactions in a text framework. The traditional mining techniques are applied to documents to extract rules. The fuzzy framework allows us to deal with a fuzzy extended Boolean model. Text mining with fuzzy association rules is applied to one of the classical problems in Information Retrieval: query refinement. The extracted rules help users to query the system by showing them a list of candidate terms to refine the query. Different procedures to apply these rules in an automatic and semi-automatic way are also presented.