Exceptional Association Rule Set Discovery from Community-Dwelling Elderly People Database

Kaoru Shimada, Hisae Aoki, Keiko Kubota, Satoru Haresaku, Shinsuke Mizutani, Toru Naito, Michio Ueno

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

Abstract

An extended method to discover exceptional association rule sets from incomplete databases is proposed. In an exceptional rule set, each itemset X, Y has a weak or no statistical relation to class C; however, the join of X and Y has a strong relation to C. An exceptional rule set can be used to infer long rules for the join of X and Y and to discover rare rules. The proposed method calculates the rule evaluation odds ratio directly. In this study, the method is applied to rule discovery using a database of community-dwelling elderly. Experimental results demonstrate that the proposed method can help discover interesting rare rules and exceptional association rule sets. The results show the effectiveness of the proposed method in the fields of medicine and health care.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3295-3300
Number of pages6
ISBN (Electronic)9781538666500
DOIs
Publication statusPublished - Jan 16 2019
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: Oct 7 2018Oct 10 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
CountryJapan
CityMiyazaki
Period10/7/1810/10/18

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction

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  • Cite this

    Shimada, K., Aoki, H., Kubota, K., Haresaku, S., Mizutani, S., Naito, T., & Ueno, M. (2019). Exceptional Association Rule Set Discovery from Community-Dwelling Elderly People Database. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 (pp. 3295-3300). [8616555] (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2018.00558