Data mining in rough relational databases by attribute generalisation
by Theresa Beaubouef, Frederick E. Petry
International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS), Vol. 1, No. 1, 2009

Abstract: The rough relational database model was developed for the management of uncertainty in relational databases. In particular, knowledge discovery performed on this database can provide useful information in the form of rules that may not have been known previously. A particular type of knowledge discovery, attribute oriented induction of rules from generalised data, is discussed in this paper, along with the advantages of the rough relational database model for this approach.

Online publication date: Wed, 24-Jun-2009

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