Association rule mining using a multi-objective grammar-based ant programming algorithm

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

@InProceedings{Olmo:2011:ISDA,

• author = "Juan Luis Olmo and Jose Maria Luna and Jose Raul Romero and Sebastian Ventura",
• title = "Association rule mining using a multi-objective grammar-based ant programming algorithm",
• booktitle = "11th International Conference on Intelligent Systems Design and Applications (ISDA 2011)",
• year = "2011",
• month = "22-24 " # nov,
• pages = "971--977",
• address = "Cordoba",
• size = "7 pages",
• abstract = "This paper presents a method for extracting association rules by means of a multi-objective grammar guided ant programming algorithm. Solution construction is guided by a context-free grammar specifically suited for association rule mining, which defines the search space of all possible expressions or programs. Evaluation of individuals is considered from a Pareto-based point of view, measuring support and confidence of rules mined, and assigning them a ranking fitness. The proposed algorithm is verified over 10 varied data sets and compared to other association rule mining algorithms from several paradigms such as exhaustive search, genetic algorithms and genetic programming, showing that ant programming is a good technique at addressing the association task of data mining as well.",
• keywords = "genetic algorithms, genetic programming, ant colony optimisation, ant programming, association rule mining, context-free grammar, data extraction, multi-objective grammar, search space, ant colony optimisation, context-free grammars, data mining, information retrieval",
• DOI = "doi:10.1109/ISDA.2011.6121784",
• ISSN = "2164-7143",
• notes = "Also known as \cite{6121784}",

}

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

Citations