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Data analysis of workplace accidents - a case study

dc.contributor.authorSena, Inês
dc.contributor.authorBraun, João
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2022-04-05T14:15:08Z
dc.date.available2022-04-05T14:15:08Z
dc.date.issued2021
dc.description.abstractThe 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.pt_PT
dc.description.sponsorshipThis work has also been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope UIDB/05757/2020 and project iSafety supported by Norte 2020 n. 072598. The project that gave rise to these results received the support of a fellowship from “la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI20/11780028.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSena, 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 978-3-030-91884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_42pt_PT
dc.identifier.issn978-3-030-91884-2
dc.identifier.urihttp://hdl.handle.net/10198/25350
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectWorkplace accidentspt_PT
dc.subjectData miningpt_PT
dc.subjectClusteringpt_PT
dc.subjectClassificationpt_PT
dc.titleData analysis of workplace accidents - a case studypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.endPage586pt_PT
oaire.citation.startPage571pt_PT
oaire.citation.titleOptimization, learning algorithms and applications: first International Conference, OL2A 2021pt_PT
oaire.citation.volume1488pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSena
person.familyNameBraun Neto
person.familyNamePereira
person.givenNameInês
person.givenNameJoão Afonso
person.givenNameAna I.
person.identifier.ciencia-idDC10-817D-21B5
person.identifier.ciencia-idBF13-D66B-7D08
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0003-4995-4799
person.identifier.orcid0000-0003-0276-4314
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id57222722951
person.identifier.scopus-author-id57211244317
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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