Improving the interpretability of classification rules in sparse bioinformatics datasets

Smaldon, James and Freitas, Alex A. (2006) Improving the interpretability of classification rules in sparse bioinformatics datasets. In: Research and Development in Intelligent Systems XXIII - Proc. AI-2006. (The full text of this publication is not available from this repository)

The full text of this publication is not available from this repository. (Contact us about this Publication)
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: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:03
Last Modified: 18 Jun 2014 09:01
Resource URI: http://kar.kent.ac.uk/id/eprint/14384 (The current URI for this page, for reference purposes)
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