Smaldon, James, Freitas, Alex A. (2006) Improving the interpretability of classification rules in sparse bioinformatics datasets. In: Bramer, Max and Coenen, Frans and Tuson, Andrew, eds. Research and Development in Intelligent Systems XXIII - Proc. AI-2006. Research and Development Series (23). pp. 377-381. Springer-Verlag, New York ISBN 1-84628-662-X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14384)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. |
| Item Type: | Conference or workshop item (Paper) |
|---|---|
| Additional information: | Proceedings of AI-2006, the Twenty-Sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence |
| Uncontrolled keywords: | data mining, classification, bioinformatics, ant colony optimization |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Depositing User: | Mark Wheadon |
| Date Deposited: | 24 Nov 2008 18:03 UTC |
| Last Modified: | 16 Nov 2021 09:52 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/14384 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Freitas, Alex A..
| Creator's ORCID: |
 https://orcid.org/0000-0001-9825-4700
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