G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Luna:2010:cec,

• author = "Jose Maria Luna and Jose Raul Romero and Sebastian Ventura",
• title = "G3PARM: A Grammar Guided Genetic Programming algorithm for mining association 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, NSGA-II",
• isbn13 = "978-1-4244-6910-9",
• abstract = "This paper presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and an auxiliary population made up of its best individuals who will then act as parents for the next generation. Due to the nature of G3P, the G3PARM algorithm allows us to obtain valid individuals by defining them through a context-free grammar and, furthermore, this algorithm is generic with respect to data type. We compare our algorithm to two multiobjective algorithms frequently used in literature and known as NSGA2 (Non dominated Sort Genetic Algorithm) and SPEA2 (Strength Pareto Evolutionary Algorithm) and demonstrate the efficiency of our algorithm in terms of running-time, coverage and average support, providing the user with high representative rules.",
• DOI = "doi:10.1109/CEC.2010.5586504",
• notes = "WCCI 2010. Also known as \cite{5586504}",

}

Genetic Programming entries for Jose Maria Luna Jose Raul Romero Salguero Sebastian Ventura

Citations