Analysis of the Effectiveness of G3PARM Algorithm
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- @InProceedings{Luna:2010:HAIS,
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author = "J. M. Luna and J. R. Romero and S. Ventura",
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title = "Analysis of the Effectiveness of {G3PARM} Algorithm",
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booktitle = "Proceedings of the 5th International Conference on
Hybrid Artificial Intelligence Systems (HAIS 2010) Part
II",
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year = "2010",
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editor = "Emilio Corchado and Manuel Grana Romay and
Alexandre Manhaes Savio",
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volume = "6077",
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series = "Lecture Notes in Computer Science",
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pages = "27--34",
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address = "San Sebastian, Spain",
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month = jun # " 23-25",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Association
Rules, G3P",
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isbn13 = "978-3-642-13802-7",
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DOI = "doi:10.1007/978-3-642-13803-4_4",
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size = "8 pages",
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abstract = "This paper presents an evolutionary algorithm using
G3P (Grammar Guided Genetic Programming) for mining
association rules in different real-world databases.
This algorithm, called G3PARM, uses an auxiliary
population made up of its best individuals that will
then act as parents for the next generation. The
individuals are defined through a context-free grammar
and it allows us to obtain datatype-generic and valid
individuals. We compare our approach to apriori and
FP-Growth algorithms and demonstrate that our proposal
obtains rules with better support, confidence and
coverage of the dataset instances. Finally, a
preliminary study is also introduced to compare the
scalability of our algorithm. Our experimental studies
illustrate that this approach is highly promising for
discovering association rules in databases.",
- }
Genetic Programming entries for
Jose Maria Luna
Jose Raul Romero Salguero
Sebastian Ventura
Citations