Visualization of relations of stores by using Association Rule mining

Sanetoshi Yamada, Takamitsu Funayama, Yoshiro Yamamoto

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

2 Citations (Scopus)

Abstract

For questionnaire data, a method is needed to understand questionnaire results and to find characteristics of questionnaire results by gender and generation. We previously suggested visualization of Association Rules to extract the characteristics of attributes (Yamada and Yamamoto, 2014). In this study, we find the relations between item classifications by using visualization of Association Rules for purchasing data. But, when we perform an Association Rule analysis for a large quantity of data, it is difficult to find meaningful rules because the support generally falls. When we extract rules of lower support, too many rules are extracted. Therefore, we propose a Conditional Association Rule Analysis and an Association Rule Analysis with User Attributes. In this study, we improve the visualization of Association Rules by Conditional Association Rule Analysis and the Association Rule Analysis with User Attributes.

Original languageEnglish
Title of host publicationProceedings - 2015 13th International Conference on ICT and Knowledge Engineering, ICT and KE 2015
PublisherIEEE Computer Society
Pages11-14
Number of pages4
ISBN (Electronic)9781467391894
DOIs
Publication statusPublished - 2015 Dec 29
Externally publishedYes
Event13th International Conference on ICT and Knowledge Engineering, ICT and KE 2015 - Bangkok, Thailand
Duration: 2015 Nov 182015 Nov 20

Publication series

NameInternational Conference on ICT and Knowledge Engineering
Volume2015-December
ISSN (Print)2157-0981
ISSN (Electronic)2157-099X

Other

Other13th International Conference on ICT and Knowledge Engineering, ICT and KE 2015
CountryThailand
CityBangkok
Period15/11/1815/11/20

Keywords

  • Association Rule Analysis with User Attributes
  • Conditional Association Rule Analysis
  • Visualization of Association Rules

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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