An ant colony based system for data mining: applications to medical data

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: Proc. 2001 Genetic and Evolutionary Computation Conference (GECCO-2001). (The full text of this publication is not available from this repository)

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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: Conference or workshop item (Paper)
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 17:59
Last Modified: 07 Jul 2014 13:44
Resource URI: http://kar.kent.ac.uk/id/eprint/13593 (The current URI for this page, for reference purposes)
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