Parpinelli, Rafael S. and Lopes, Heitor S. and Freitas, Alex A. (2001) An ant colony based system for data mining: applications to medical data. In: Spector, Lee E. and Goodman, Erik D., eds. Proceedings of the 3rd Annual Conference on Genetic and Evolutionary Computation. Morgan Kaufmann, San Francisco, California, USA, pp. 791-798. ISBN 1-55860-774-9. (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:13593)
| 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. |
Abstract
This work describes an algorithm for rulediscovery in databases called AntMiner. Theobjective of the algorithm is the extraction ofclassification rules to be applied to unseen dataas a decision aid. The algorithm used todiscover such rules is inspired in the behaviorof a real ant colony, as well as some conceptsof information theory and data mining.AntMiner was applied to medical databases toobtain classification rules
| Item Type: | Book section |
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| 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 17:59 UTC |
| Last Modified: | 05 Nov 2024 09:47 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/13593 (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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