A grammar based Ant Programming algorithm for mining classification rules
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gp-bibliography.bib Revision:1.8098
- @InProceedings{Olmo:2010:cec,
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author = "Juan Luis Olmo and Jose Raul Romero and
Sebastian Ventura",
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title = "A grammar based Ant Programming algorithm for mining
classification rules",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, ACO",
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isbn13 = "978-1-4244-6910-9",
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DOI = "doi:10.1109/CEC.2010.5586492",
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size = "8 pages",
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abstract = "This paper focuses on the application of a new
ACO-based automatic programming algorithm to the
classification task of data mining. This new model,
called GBAP algorithm, is based on a context-free
grammar that properly guides the creation of new valid
individuals. Moreover, its most differentiating
factors, such as the use of two complementary heuristic
measures for every transition rule, as well as the way
it assigns a consequent and evaluates the extracted
rules, are also discussed. These features enhance the
final rule compilation from the output classifier. The
performance of the proposed algorithm is evaluated and
compared against other top algorithms, and the results
obtained over 17 diverse data sets show that our
approach reaches pretty competitive and even better
accuracy values than those resulting from the other
algorithms considered in the experimentation.",
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notes = "WCCI 2010. Also known as \cite{5586492}",
- }
Genetic Programming entries for
Juan Luis Olmo
Jose Raul Romero Salguero
Sebastian Ventura
Citations