On the Use of Ant Programming for Mining Rare Association Rules

Created by W.Langdon from gp-bibliography.bib Revision:1.7989

@InProceedings{Olmo:2013:nabic,

• author = "Juan Luis Olmo Ortiz and Jose-Raul Romero and Sebastian Ventura",
• title = "On the Use of Ant Programming for Mining Rare Association Rules",
• booktitle = "5th World Congress on Nature and Biologically Inspired Computing",
• year = "2013",
• editor = "Simone Ludwig and Patricia Melin and Ajith Abraham and Ana Maria Madureira and Kendall Nygard and Oscar Castillo and Azah Kamilah Muda and Kun Ma and Emilio Corchado",
• pages = "220--225",
• address = "Fargo, USA",
• month = "12-14 " # aug,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, Data Mining, Rare Association Rule Mining, Ant Programming",
• isbn13 = "978-1-4799-1415-9",
• URL = "http://www.mirlabs.net/nabic13/proceedings/html/paper52.xml",
• DOI = "doi:10.1109/NaBIC.2013.6617866",
• size = "6 pages",
• abstract = "Most researches in association rule mining have focused on the extraction of frequent and reliable associations. However, there is an increasing interest in finding reliable rules that rarely appear, and recently, some classical solutions have been adapted to this field. The problem is that most of these algorithms follow an exhaustive approach, which have the drawback of becoming unfeasible when dealing with high complex data sets. This kind of problem can be also addressed as an optimisation problem, for which bio-inspired algorithms have proved their ability. To this end, this paper presents an ant-based automatic programming method for discovering rare association rules. This algorithm lacks the drawbacks of exhaustive approaches, having also some advantages, such as the employment of a context-free grammar that allows to adapt the algorithm to a particular domain. Results show that this proposal can mine a set of reliable infrequent rules in a short period of time.",
• notes = "UCI USB only?, IEEE Catalog Number: CFP1395H-POD Also known as \cite{6617866}",

}

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

Citations