ECLAT based association rule mining for advancing workplace mental health and organizational insights

Abstract This study explores the application of the equivalence class transformation (ECLAT) algorithm for frequent itemset mining and association rule discovery in the analysis of employee mental health data within the workplace. As mental health continues to be recognized as a crucial factor influ...

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Autors principals:	Aman Ullah, Sana Ashraf, Eman Abdullah Aldakheel, Muhammad Abdullah, Doaa Sami Khafaga
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-03-01
Col·lecció:	Scientific Reports
Matèries:	Workplace well-being Mental health patterns Organizational policy Employee productivity ECLAT algorithm Association rule mining
Accés en línia:	https://doi.org/10.1038/s41598-026-41702-0
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