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ICDE
2007
IEEE
119views Database» more  ICDE 2007»
14 years 1 months ago
Practical Preference Relations for Large Data Sets
User-defined preferences allow personalized ranking of query results. A user provides a declarative specification of his/her preferences, and the system is expected to use that ...
Kenneth A. Ross, Peter J. Stuckey, Amélie M...
EDBT
2010
ACM
177views Database» more  EDBT 2010»
13 years 9 months ago
PerK: personalized keyword search in relational databases through preferences
Keyword-based search in relational databases allows users to discover relevant information without knowing the database schema or using complicated queries. However, such searches...
Kostas Stefanidis, Marina Drosou, Evaggelia Pitour...
EDBTW
2006
Springer
13 years 11 months ago
Preference-Driven Querying of Inconsistent Relational Databases
One of the goals of cleaning an inconsistent database is to remove conflicts between tuples. Typically, the user specifies how the conflicts should be resolved. Sometimes this spec...
Slawomir Staworko, Jan Chomicki, Jerzy Marcinkowsk...
JLP
2008
92views more  JLP 2008»
13 years 7 months ago
Relational measures and integration in preference modeling
Based on a set of criteria and a measuring lattice, we introduce relational measures as generalizations of fuzzy measures. The latter have recently made their way from the interva...
Gunther Schmidt, Rudolf Berghammer
AI
2010
Springer
13 years 7 months ago
Double preference relations for generalised belief change
Many belief change formalisms employ plausibility orderings over the set of possible worlds to determine how the beliefs of an agent ought to be modified after the receipt of a ne...
Richard Booth, Samir Chopra, Thomas Meyer, Aditya ...