Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database

@article{Shimada2005GeneticNP,
  title={Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database},
  author={Kaoru Shimada and Kotaro Hirasawa and Jinglu Hu},
  journal={International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)},
  year={2005},
  volume={2},
  pages={47-54}
}
A method of association rule mining using genetic network programming (GNP) is proposed to improve the performance of association rule extraction from dense database. Rule extraction is done without identifying frequent itemsets used in a priori-like methods. Association rules are represented as the connections of nodes in GNP. The proposed mechanisms calculate measurements of association rules directly from a database using GNP, and measure the significance of the association via the chi… CONTINUE READING