Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Fuzzy orderings in flexible query answering systems
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Query result ranking over e-commerce web databases
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Probabilistic ranking of database query results
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Empty versus overabundant answers to flexible relational queries
Fuzzy Sets and Systems
Database querying with personalized vocabulary using data summaries
Fuzzy Sets and Systems
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
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Retrieving data from large-scale databases sometimes leads to plethoric answers especially when queries are under-specified. To overcome this problem, we propose to strengthen the initial query with additional predicates. These predicates are selected among predefined ones according principally to their degrees of semantic correlation with the initial query in order to avoid an excessive modification of its initial scope. According to the size of the initial answer set and the number of expected results specified by the user, fuzzy cardinalities are used to assess the reduction capability of these correlated predefined predicates.