Fertig, C.S. and Freitas, A.A. and Arruda, L.V.R. and Kaestner, Celso A.A. (1999) A Fuzzy Beam-Search Rule Induction Algorithm. In: Zytkow, J. and Rauch, J., eds. Principles of Data Mining and Knowledge Discovery (Proc 3rd European Conf - PKDD-99). Lecture Notes in Computer Science, 1704. Springer-Verlag, Berlin pp. 341-347. ISBN 3-540-66490-4.
|The full text of this publication is not available from this repository. (Contact us about this Publication)|
This paper proposes a fuzzy beam search rule induction algorithm for the classification task. The use of fuzzy logic and fuzzy sets not only provides us with a powerful, flexible approach to cope with uncertainty, but also allows us to express the discovered rules in a representation more intuitive and comprehensible for the user, by using linguistic terms (such as low, medium, high) rather than continuous, numeric values in rule conditions. The proposed algorithm is evaluated in two public domain data sets.
|Item Type:||Conference or workshop item (Paper)|
|Additional information:||The doi of the book: 10.1007/b72280 The official URL for the book: http://dx.doi.org/10.1007/b72280|
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group|
|Depositing User:||Mark Wheadon|
|Date Deposited:||02 Sep 2009 11:39|
|Last Modified:||18 Jul 2012 08:51|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/21711 (The current URI for this page, for reference purposes)|
- Depositors only (login required):