Ranking association rules for classification based on genetic network programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{DBLP:conf/gecco/YangMSGH09,
  author =       "Guangfei Yang and Shingo Mabu and Kaoru Shimada and 
                 Yunlu Gong and Kotaro Hirasawa",
  title =        "Ranking association rules for classification based on
                 genetic network programming",
  booktitle =    "GECCO '09: Proceedings of the 11th Annual conference
                 on Genetic and evolutionary computation",
  year =         "2009",
  editor =       "Guenther Raidl and Franz Rothlauf and 
                 Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and 
                 Mauro Birattari and Clare Bates Congdon and 
                 Martin Middendorf and Christian Blum and Carlos Cotta and 
                 Peter Bosman and Joern Grahl and Joshua Knowles and 
                 David Corne and Hans-Georg Beyer and Ken Stanley and 
                 Julian F. Miller and Jano {van Hemert} and 
                 Tom Lenaerts and Marc Ebner and Jaume Bacardit and 
                 Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and 
                 Thomas Jansen and Riccardo Poli and Enrique Alba",
  pages =        "1917--1918",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming, Poster",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1145/1569901.1570234",
  abstract =     "In this paper, we propose a Genetic Network
                 Programming (GNP) based ranking method to improve the
                 accuracy of Classification Based on Association
                 Rule(CBA). We start from an empirical phenomenon, that
                 is, the accuracy could be improved by changing the
                 ranking of rules in CBA. Then, we apply GNP to build a
                 model, namely RuleRank, to find good ranking equations
                 to rank association rules in CBA. The simulation
                 results show that RuleRank could improve the accuracy
                 of CBA effectively.",
  notes =        "GECCO-2009 A joint meeting of the eighteenth
                 international conference on genetic algorithms
                 (ICGA-2009) and the fourteenth annual genetic
                 programming conference (GP-2009).

                 ACM Order Number 910092.",
}

Genetic Programming entries for Guangfei Yang Shingo Mabu Kaoru Shimada Yunlu Gong Kotaro Hirasawa

Citations