Fuzzy classification rule mining based on Genetic Network Programming algorithm
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- @InProceedings{Taboada:2009:ieeeSMC,
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author = "Karla Taboada and Shingo Mabu and Eloy Gonzales and
Kaoru Shimada and Kotaro Hirasawa",
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title = "Fuzzy classification rule mining based on Genetic
Network Programming algorithm",
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booktitle = "IEEE International Conference on Systems, Man and
Cybernetics, SMC 2009",
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year = "2009",
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month = oct,
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pages = "3860--3865",
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keywords = "genetic algorithms, genetic programming, association
rule mining, association rule-based classification,
data mining techniques, directed graph structures,
evolutionary optimization algorithms, fuzzy
classification rule mining, genetic network programming
algorithm, data mining, directed graphs, fuzzy set
theory",
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DOI = "doi:10.1109/ICSMC.2009.5346640",
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ISSN = "1062-922X",
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abstract = "Association rule-based classification is one of the
most important data mining techniques applied to many
scientific problems. In the last few years, extensive
research has been carried out to develop enhanced
methods and obtained higher classification accuracies
than traditional classifiers. However, the current
studies show that the association rule-based
classifiers may also suffer some problems inherited
from association rule mining such as handling of (1)
continuous data and (2) the support/confidence
framework. In this paper, a novel fuzzy classification
model based on genetic network programming (GNP) that
can deal with the above problems has been proposed. GNP
is one of the evolutionary optimization algorithms that
uses directed graph structures as solutions instead of
strings (genetic algorithms) or trees (genetic
programming). Therefore, GNP can deal with more complex
problems by using the higher expression ability of
graph structures. The performance of our algorithm has
been compared with other relevant algorithms and the
experimental results show the advantages and
effectiveness of the proposed model.",
-
notes = "Also known as \cite{5346640}",
- }
Genetic Programming entries for
Karla Taboada
Shingo Mabu
Eloy Gonzales
Kaoru Shimada
Kotaro Hirasawa
Citations