Parpinelli, R.S. and Lopes, H.S. and Freitas, A.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. (Contact us about this Publication) |
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: | 28 May 2012 15:01 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/13593 (The current URI for this page, for reference purposes) |
- Depositors only (login required):
