Mining and representing rare association rules through the use of genetic programming
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- @InProceedings{Luna:2011:NaBIC,
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author = "Jose Maria Luna and Jose Raul Romero and
Sebastian Ventura",
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title = "Mining and representing rare association rules through
the use of genetic programming",
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booktitle = "Third World Congress on Nature and Biologically
Inspired Computing (NaBIC 2011)",
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year = "2011",
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month = "19-21 " # oct,
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pages = "86--91",
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address = "Salamanca",
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size = "6 pages",
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abstract = "Whereas the extraction of frequent patterns has
focused the major researches in association rule
mining, the requirements of reliable rules that do not
frequently appear is taking an increasing interest in a
great number of areas. This field has not been explored
in depth and most algorithms for mining infrequent
association rules follow an exhaustive search
methodology, which hampers the extracting process
because of the size of the datasets. The importance of
discovering patterns that do not frequently appear in a
dataset and the promising results obtained when using
evolutionary proposals in the field of frequent pattern
mining motivates the evolutionary proposal for
discovering rare association rules presented in this
paper. Here, a context-free grammar is described and
applied to adapt individuals to each particular problem
or domain. The use of both an evolutionary approach and
a context-free grammar reduces the memory requirements
and provides the possibility of extracting any kind of
rules, respectively. The experimental study shows that
this proposal obtains a set of reliable infrequent
rules in a short period of time.",
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keywords = "genetic algorithms, genetic programming, context-free
grammar, evolutionary proposals, extracting process,
frequent pattern mining, infrequent association rule
mining, rare association rule mining, rare association
rule representation, search methodology, context-free
grammars, data mining",
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DOI = "doi:10.1109/NaBIC.2011.6089422",
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notes = "Also known as \cite{6089422}",
- }
Genetic Programming entries for
Jose Maria Luna
Jose Raul Romero Salguero
Sebastian Ventura
Citations