Time Related Association Rules Mining with Attributes Accumulation Mechanism and its Application to Traffic Prediction

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@InProceedings{Zhou:2008:cec,
  author =       "Huiyu Zhou and Wei Wei and Kaoru Shimada and 
                 Shingo Mabu and Kotaro Hirasawa",
  title =        "Time Related Association Rules Mining with Attributes
                 Accumulation Mechanism and its Application to Traffic
                 Prediction",
  booktitle =    "2008 IEEE World Congress on Computational
                 Intelligence",
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "305--311",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0092.pdf",
  DOI =          "doi:10.1109/CEC.2008.4630815",
  abstract =     "We propose a method of association rule mining using
                 Genetic Network Programming (GNP) with time series
                 processing mechanism and attribute accumulation
                 mechanism in order to find time related sequence rules
                 efficiently in association rule extraction systems. We
                 suppose that, the database consists of a large number
                 of attributes based on time series. In order to deal
                 with databases which have a large number of attributes,
                 GNP individual accumulates better attributes in it
                 gradually round by round, and the rules of each round
                 are stored in the Small Rule Pool using hash method,
                 and the new rules will be finally stored in the Big
                 Rule Pool. The aim of this paper is to better handle
                 association rule extraction of the database in many
                 time-related applications especially in the traffic
                 prediction problem. In this paper, the algorithm
                 capable of finding the important time related
                 association rules is described and experimental results
                 considering a traffic prediction problem are
                 presented.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",
}

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

Citations