Measurement, selection, and visualization of association rules: A compositional data perspective-Reference-Cited by-同舟云学术

Measurement, selection, and visualization of association rules: A compositional data perspective

Published:2021-05-18 Issue: Volume: Page:
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Vives‐Mestres Marina¹²^ORCID,Kenett Ron S.³^ORCID,Thió‐Henestrosa Santiago¹^ORCID,Martín‐Fernández Josep Antoni¹^ORCID

Affiliation:

1. Department of Computer Science, Applied Mathematics and Statistics Universitat de Girona POLITÈCNICA IV, Campus Montilivi Girona 17003 Spain

2. Clinical Statistics Curelator Inc. 210 Broadway #201 Cambridge MA 02139 USA

3. KPA Group and Samuel Neaman Institute, Technion Raanana Israel

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2910

Reference33 articles.

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4. MaL TsuiFC HoganWR WagnerMM MaH. A framework for infection control surveillance using association rules.AMIA Annual Symposium Proceedings;2003:410‐414.

5. Applications of association rule mining in health informatics: a survey

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