A grammar based Ant Programming algorithm for mining classification rules

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Olmo:2010:cec,

• author = "Juan Luis Olmo and Jose Raul Romero and Sebastian Ventura",
• title = "A grammar based Ant Programming algorithm for mining classification rules",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, ACO",
• isbn13 = "978-1-4244-6910-9",
• DOI = "doi:10.1109/CEC.2010.5586492",
• size = "8 pages",
• abstract = "This paper focuses on the application of a new ACO-based automatic programming algorithm to the classification task of data mining. This new model, called GBAP algorithm, is based on a context-free grammar that properly guides the creation of new valid individuals. Moreover, its most differentiating factors, such as the use of two complementary heuristic measures for every transition rule, as well as the way it assigns a consequent and evaluates the extracted rules, are also discussed. These features enhance the final rule compilation from the output classifier. The performance of the proposed algorithm is evaluated and compared against other top algorithms, and the results obtained over 17 diverse data sets show that our approach reaches pretty competitive and even better accuracy values than those resulting from the other algorithms considered in the experimentation.",
• notes = "WCCI 2010. Also known as \cite{5586492}",

}

Genetic Programming entries for Juan Luis Olmo Jose Raul Romero Salguero Sebastian Ventura

Citations