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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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Principais autores: Aman Ullah, Sana Ashraf, Eman Abdullah Aldakheel, Muhammad Abdullah, Doaa Sami Khafaga
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2026-03-01
Serier:Scientific Reports
Fag:
Workplace well-being
Mental health patterns
Organizational policy
Employee productivity
ECLAT algorithm
Association rule mining
Online adgang:https://doi.org/10.1038/s41598-026-41702-0
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