On a fuzzy group-by and its use for fuzzy association rule mining

Authors:
Patrick Bosc;Olivier Pivert;Grégory Smits
Affiliations:
Irisa, Enssat, University of Rennes 1, Lannion Cedex, France;Irisa, Enssat, University of Rennes 1, Lannion Cedex, France;Irisa, Enssat, University of Rennes 1, Lannion Cedex, France
Venue:
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Year:
2010

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Abstract

Group-by is a core database operation that is used extensively in data analysis and decision support systems. In many application scenarios, it appears useful to group values according to their compliance with a certain concept instead of founding the grouping on value equality. In this paper, we propose a new SQLf construct that supports fuzzy-partition-based group-by (FGB). We show that FGB can be used to generate fuzzy summaries as well as to mine fuzzy association rules (whose head or body are bound to a specific fuzzy value) in a practical and efficient way.