An Automatic Programming ACO-Based Algorithm for Classification Rule Mining

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InCollection{Olmo:2010:paams,

• author = "Juan Luis Olmo and Jose Maria Luna and Jose Raul Romero and Sebastian Ventura",
• title = "An Automatic Programming {ACO}-Based Algorithm for Classification Rule Mining",
• booktitle = "Trends in Practical Applications of Agents and Multiagent Systems",
• publisher = "Springer",
• year = "2010",
• 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",
• volume = "71",
• series = "Advances in Intelligent and Soft Computing",
• pages = "649--656",
• keywords = "genetic algorithms, genetic programming, ACO",
• isbn13 = "978-3-642-12432-7",
• DOI = "doi:10.1007/978-3-642-12433-4_76",
• 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