On the Use of Ant Programming for Mining Rare Association Rules
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @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