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 currently available from this repository. You may be able to access a copy if URLs are provided)

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. (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: https://kar.kent.ac.uk/id/eprint/14384 (The current URI for this page, for reference purposes)
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