VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
CACTUS—clustering categorical data using summaries
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Clustering Categorical Data: An Approach Based on Dynamical Systems
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
ROCK: A Robust Clustering Algorithm for Categorical Attributes
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Integrating similarity based retrieval and query refinement in databases
Integrating similarity based retrieval and query refinement in databases
Mining approximate functional dependencies and concept similarities to answer imprecise queries
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
A framework for query refinement with user feedback
Journal of Systems and Software
On modeling query refinement by capturing user intent through feedback
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
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The rapid expansion of the World Wide Web has made a large number of databases like bibliographies, scientific databases etc. to become accessible to lay users demanding "instant gratification". Often, these users may not know how to precisely express their needs and may formulate queries that lead to unsatisfactory results.