Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction

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@InProceedings{Li:2009:ICCAS-SICE,
  author =       "Xianneng Li and Shingo Mabu and Huiyu Zhou and 
                 Kaoru Shimada and Kotaro Hirasawa",
  title =        "Genetic Network Programming with Estimation of
                 Distribution Algorithms and its application to
                 association rule mining for traffic prediction",
  booktitle =    "ICCAS-SICE, 2009",
  year =         "2009",
  month =        "18-21 " # aug,
  address =      "Fukuoka",
  pages =        "3457--3462",
  publisher =    "IEEE",
  isbn13 =       "978-4-9077-6433-3",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5334374",
  size =         "6 pages",
  abstract =     "In this paper, a novel evolutionary paradigm combining
                 Genetic Network Programming (GNP) and Estimation of
                 Distribution Algorithms (EDAs) is proposed and used to
                 find important association rules in time-related
                 applications, especially in traffic prediction. GNP is
                 one of the evolutionary optimisation algorithms, which
                 uses directed-graph structures. EDAs is a novel
                 algorithm, where the new population of individuals is
                 produced from a probabilistic distribution estimated
                 from the selected individuals from the previous
                 generation. This model replaces random crossover and
                 mutation to generate offspring. Instead of generating
                 the candidate association rules using conventional GNP,
                 the proposed method can obtain a large number of
                 important association rules more effectively. The
                 purpose of this paper is to compare the proposed method
                 with conventional GNP in traffic prediction systems in
                 terms of the number of rules obtained.",
  keywords =     "genetic algorithms, genetic programming, genetic
                 network programming, association rule mining,
                 association rules, directed graph structures,
                 estimation of distribution algorithms, evolutionary
                 optimisation algorithm, evolutionary paradigm,
                 probabilistic distribution, traffic prediction, data
                 mining, directed graphs, probability",
  notes =        "Also known as \cite{5334374}",
}

Genetic Programming entries for Xianneng Li Shingo Mabu Huiyu Zhou Kaoru Shimada Kotaro Hirasawa

Citations