Abstract in proceedings by IOS Press, pp. 290-291.
Full length paper in University of Helsinki, Department of Computer Science, Series of Publications C, Report C-1997-49, pp. 99-110.
Editor of both: G. Grahne.
| Title | Rough Enough - A System Supporting the Rough Sets Approach |
| Authors | Anders Torvill Bjorvand |
| Keywords | Rough sets, genetic algorithms, software architecture |
| Abstract | The rough sets theory has proved useful for a wide variety of data mining tasks. A system, called 'Rough Enough', has been developed to support the basic operations of the theory. The system emphasizes modifiability and experimentalism. Genetic algorithms have been used for the NP-hard rough sets procedure of data reduction - obtaining the set of reducts. The system has been successfully tested with real world data. |
| Category | Research Announcement / Poster |
| Status | Accepted at the Sixth Scandinavian Conference on Artificial Intelligence SCAI'97 |
| Published | 1997 Abstract in proceedings by IOS Press, pp. 290-291. Full length paper in University of Helsinki, Department of Computer Science, Series of Publications C, Report C-1997-49, pp. 99-110. Editor of both: G. Grahne. |
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This document was last changed: 05/19/99 by Anders Torvill Bjorvand