Data mining in rough relational databases by attribute generalisation Online publication date: Wed, 24-Jun-2009
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
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org