An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{Olmo:2010:paams,
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author = "Juan Luis Olmo and Jose Maria Luna and
Jose Raul Romero and Sebastian Ventura",
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title = "An Automatic Programming {ACO}-Based Algorithm for
Classification Rule Mining",
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booktitle = "Trends in Practical Applications of Agents and
Multiagent Systems",
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publisher = "Springer",
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year = "2010",
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editor = "Yves Demazeau and Frank Dignum and
Juan M. Corchado and Javier Bajo and Rafael Corchuelo and
Emilio Corchado and Florentino Fernandez-Riverola and
Vicente J. Julian and Pawel Pawlewski and Andrew Campbell",
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volume = "71",
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series = "Advances in Intelligent and Soft Computing",
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pages = "649--656",
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keywords = "genetic algorithms, genetic programming, ACO",
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isbn13 = "978-3-642-12432-7",
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DOI = "doi:10.1007/978-3-642-12433-4_76",
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abstract = "In this paper we present a novel algorithm, named
GBAP, that jointly uses automatic programming with ant
colony optimisation for mining classification rules.
GBAP is based on a context-free grammar that properly
guides the search process of valid rules. Furthermore,
its most important characteristics are also discussed,
such as the use of two different heuristic measures for
every transition rule, as well as the way it evaluates
the mined rules. These features enhance the final rule
compilation from the output classifier. Finally, the
experiments over 17 diverse data sets prove that the
accuracy values obtained by GBAP are pretty competitive
and even better than those resulting from the top
Ant-Miner algorithm.",
- }
Genetic Programming entries for
Juan Luis Olmo
Jose Maria Luna
Jose Raul Romero Salguero
Sebastian Ventura
Citations