| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 4.9 MB | Adobe PDF |
Advisor(s)
Abstract(s)
The welfare and safety of the employees of an enterprise is a
great concern and priority in a responsible and successful organization.
The identification of patterns of work-related accidents is important to
reduce and prevent further mishaps and injuries. To improve the safety
of the work environment, accidents related data must be analyzed to
identify the possible risk factors and their effects on the type of accident
and its level of severity. Thus, data related to workplace accidents in
fishmonger stores were collected from a Portuguese retail company where
it was analyzed with statistical, clustering, and classification techniques
to identify potential underlying correlation and patterns between the
data, and in this way, collecting important information to prevent future
accident or lesions.
Description
Keywords
Workplace accidents Data mining Clustering Classification
Citation
Sena, Inês P.; Braun, João; Pereira, Ana I. (2021). Data analysis of workplace accidents - a case study. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 571-586. ISBN 978-3-030-91884-2
Publisher
Springer Nature