A system for mining generalized association rules with ontology using genetic network programming

Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Takayuki Furuzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a Genetic Network Programming based system to mine equalized association rules in multi concept layers of ontology. There are three modules in this system: Database, Equalizer and GNP Miner. We first introduce ontology to facilitate building the multi concept layers in Database module and propose Dynamic Threshold Approach (DTA) to equalize the different layers in Equalizer. We make use of an evolutionary computation method Genetic Network Programming (GNP) to mine the rules and develop a new genetic operator to speed up searching the rule space.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
DOIs
Publication statusPublished - 2008
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto
Duration: 2007 Sep 52007 Sep 7

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
CityKumamoto
Period07/9/507/9/7

    Fingerprint

ASJC Scopus subject areas

  • Computer Science(all)
  • Mechanical Engineering

Cite this

Yang, G., Shimada, K., Mabu, S., Hirasawa, K., & Furuzuki, T. (2008). A system for mining generalized association rules with ontology using genetic network programming. In Second International Conference on Innovative Computing, Information and Control, ICICIC 2007 [4427823] https://doi.org/10.1109/ICICIC.2007.102