Title: Data mining in rough relational databases by attribute generalisation

Authors: Theresa Beaubouef, Frederick E. Petry

Addresses: Computer Science Department, SLU 10847, Southeastern Louisiana University, Hammond, LA 70402, USA. ' Naval Research Laboratory, Bldg. 1005, Code 7440.5, Stennis Space Center, MS 39529, USA

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.

Keywords: data mining; rough relational databases; attribute generalisation; knowledge discovery; concept hierarchy; uncertainty management.

DOI: 10.1504/IJGCRSIS.2009.026724

International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2009 Vol.1 No.1, pp.43 - 63

Published online: 24 Jun 2009 *

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