Otero, F.E.B. and Freitas, A.A. and Johnson, Colin G. (2008) cAnt-Miner: an ant colony classification algorithm to cope with continuous attributes. In: Ant Colony Optimization and Swarm Intelligence (Proc. ANTS 2008), LNCS 5217, SEP 22-24, 2008, Brussels, BELGIUM.
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| Official URL http://dx.doi.org/10.1007/978-3-540-87527-7 |
Abstract
This paper presents an extension to Ant-Miner, named cAnt-Miner (Ant-Miner coping with continuous attributes), which incorporates an entropy-based discretization method in order to cope with continuous attributes during the rule construction process. By having the ability to create discrete intervals for continuous attributes "on-the-fly", cAnt-Miner does not requires a discretization method in a preprocessing step, as Ant-Miner requires. cAnt-Miner has been compared against Ant-Miner in eight public domain datasets with respect to predictive accuracy and simplicity of the discovered rules. Empirical results show that creating discrete intervals during the rule construction process facilitates the discovery of more accurate and significantly simpler classification rules
| Item Type: | Conference or workshop item (Paper) |
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| Uncontrolled keywords: | ant colony optimisation, classification, data mining |
| 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: | 29 Mar 2010 12:10 |
| Last Modified: | 17 Jul 2012 14:36 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/24014 (The current URI for this page, for reference purposes) |
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