Mining ensemble association rules by Karnaugh Map

Yi Chun Lin, Chun Min Hung, Yueh-Min Huang

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

3 Citations (Scopus)

Abstract

Generally, the study of association mining is majority concentrate on how to find out the frequent item set and attempt to infer the relationship between them. But very few studies deliberate about the two notable issues. The one is the huge number of association rules, which easily caused the decision maker to get lost in it. The other is the general association rules, which just imply the relationship with "AND" logic between items, but not imply the relation with "OR" and "XOR" logic between items. In this paper, we apply Karnaugh Map (K-Map) principle to find out ensemble association rules by experiment transaction data, it names 'ARKM'. The experiment result shows that the ARKM approach which not only provides computational efficiency to obtain simplified and usable rules but also manifest adaptive to the decision maker.

Original languageEnglish
Title of host publication2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Pages320-324
Number of pages5
DOIs
Publication statusPublished - 2009 Nov 18
Event2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 - Los Angeles, CA, United States
Duration: 2009 Mar 312009 Apr 2

Publication series

Name2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Volume4

Other

Other2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
CountryUnited States
CityLos Angeles, CA
Period09-03-3109-04-02

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Software

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  • Cite this

    Lin, Y. C., Hung, C. M., & Huang, Y-M. (2009). Mining ensemble association rules by Karnaugh Map. In 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 (pp. 320-324). [5171011] (2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009; Vol. 4). https://doi.org/10.1109/CSIE.2009.746