A Clustering Approach to a Major-Accident Data Set : Analysis of Key Interactions to Minimise Human Errors

Moura, Raphael; Doell, Christoph; Beer, Michael; Kruse, Rudolf

A Clustering Approach to a Major-Accident Data Set : Analysis of Key Interactions to Minimise Human Errors

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2015

Autor:innen

Moura, Raphael

Doell, Christoph

Beer, Michael

Kruse, Rudolf

DOI (zitierfähiger Link)

https://doi.org/10.1109/SSCI.2015.256

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

2015 IEEE Symposium Series on Computational Intelligence. Piscataway, New Jersey, USA: IEEE, 2015, pp. 1838-1843. ISBN 978-1-4799-7560-0. Available under: doi: 10.1109/SSCI.2015.256

Zusammenfassung

This work aims to scrutinise a proprietary dataset containing major accidents occurred in high-technology facilities, in order to disclose relevant features and indicate a path to the recognition of the genesis of human errors. The application of a tailored Hierarchical Agglomerative Clustering method will provide means to understand data and identify key similarities among accidents and significant interfaces between human factors, the organisational environment and the technology. Conclusions to improve the human performance based on the clustering results are then discussed.

Fachgebiet (DDC)

004 Informatik

Konferenz

2015 IEEE Symposium Series on Computational Intelligence (SSCI), 7. Dez. 2015 - 10. Dez. 2015, Cape Town, South Africa

Zitieren

ISO 690

MOURA, Raphael, Christoph DOELL, Michael BEER, Rudolf KRUSE, 2015. A Clustering Approach to a Major-Accident Data Set : Analysis of Key Interactions to Minimise Human Errors. 2015 IEEE Symposium Series on Computational Intelligence (SSCI). Cape Town, South Africa, 7. Dez. 2015 - 10. Dez. 2015. In: 2015 IEEE Symposium Series on Computational Intelligence. Piscataway, New Jersey, USA: IEEE, 2015, pp. 1838-1843. ISBN 978-1-4799-7560-0. Available under: doi: 10.1109/SSCI.2015.256

BibTex

@inproceedings{Moura2015Clust-44703,
  year={2015},
  doi={10.1109/SSCI.2015.256},
  title={A Clustering Approach to a Major-Accident Data Set : Analysis of Key Interactions to Minimise Human Errors},
  isbn={978-1-4799-7560-0},
  publisher={IEEE},
  address={Piscataway, New Jersey, USA},
  booktitle={2015 IEEE Symposium Series on Computational Intelligence},
  pages={1838--1843},
  author={Moura, Raphael and Doell, Christoph and Beer, Michael and Kruse, Rudolf}
}

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