A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas

  1. Fister, I.
  2. Fister, I.
  3. Fister, D.
  4. Podgorelec, V.
  5. Fister, I.
  6. Salcedo-Sanz, S.
Revue:
Expert Systems with Applications

ISSN: 0957-4174

Année de publication: 2023

Volumen: 233

Type: Article

DOI: 10.1016/J.ESWA.2023.120901 GOOGLE SCHOLAR

Objectifs de Développement Durable

La source de données: Scopus