Towards a Multi-parametric Visualisation Approach for Business Process Analytics

Stefan Bachhofner; Isabella Kis; Claudio Di Ciccio; Jan Mendling

doi:10.1007/978-3-319-60048-2_8

Towards a Multi-parametric Visualisation Approach for Business Process Analytics

Stefan Bachhofner, Isabella Kis, Claudio Di Ciccio, Jan Mendling

Data, Process and Knowledge Management (Sabou)

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

Visualisation is an integral part of many scientific areas and is reportedly an important tool for learning and teaching. One reason for this is the picture superior effect. Nevertheless, little research endeavour has been carried out so far to effectively apply visualisation principles to the emerging field of business process analytics. In this paper a novel multi-parametric visualisation approach is proposed in such a context. General visualisation principles are used to create, evaluate, and improve the approach in the design process. They are drawn from a wide range of fields, and are synthesised from theory and empirical evidence.

Originalsprache	Englisch
Titel des Sammelwerks	Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings
Herausgeber*innen	Andreas Metzger, Anne Persson
Erscheinungsort	Essen, Germany
Verlag	Springer
Seiten	85 - 91
ISBN (Print)	978-3-319-60048-2
DOIs	https://doi.org/10.1007/978-3-319-60048-2_8
Publikationsstatus	Veröffentlicht - 2017

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

102
102013 Human-Computer Interaction
502
502050 Wirtschaftsinformatik
102022 Softwareentwicklung

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Zitat

Bachhofner, S., Kis, I., Di Ciccio, C., & Mendling, J. (2017). Towards a Multi-parametric Visualisation Approach for Business Process Analytics. in Andreas Metzger, Anne Persson (Hrsg.), Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings (S. 85 - 91). Springer. https://doi.org/10.1007/978-3-319-60048-2_8

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abstract = "Visualisation is an integral part of many scientific areas and is reportedly an important tool for learning and teaching. One reason for this is the picture superior effect. Nevertheless, little research endeavour has been carried out so far to effectively apply visualisation principles to the emerging field of business process analytics. In this paper a novel multi-parametric visualisation approach is proposed in such a context. General visualisation principles are used to create, evaluate, and improve the approach in the design process. They are drawn from a wide range of fields, and are synthesised from theory and empirical evidence.",

author = "Stefan Bachhofner and Isabella Kis and {Di Ciccio}, Claudio and Jan Mendling",

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doi = "10.1007/978-3-319-60048-2_8",

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Bachhofner, S, Kis, I, Di Ciccio, C & Mendling, J 2017, Towards a Multi-parametric Visualisation Approach for Business Process Analytics. in Andreas Metzger, Anne Persson (Hrsg.), Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings. Springer, Essen, Germany, S. 85 - 91. https://doi.org/10.1007/978-3-319-60048-2_8

Towards a Multi-parametric Visualisation Approach for Business Process Analytics. / Bachhofner, Stefan; Kis, Isabella; Di Ciccio, Claudio et al.
Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings. Hrsg. / Andreas Metzger, Anne Persson. Essen, Germany: Springer, 2017. S. 85 - 91.

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Towards a Multi-parametric Visualisation Approach for Business Process Analytics

AU - Bachhofner, Stefan

AU - Kis, Isabella

AU - Di Ciccio, Claudio

AU - Mendling, Jan

PY - 2017

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N2 - Visualisation is an integral part of many scientific areas and is reportedly an important tool for learning and teaching. One reason for this is the picture superior effect. Nevertheless, little research endeavour has been carried out so far to effectively apply visualisation principles to the emerging field of business process analytics. In this paper a novel multi-parametric visualisation approach is proposed in such a context. General visualisation principles are used to create, evaluate, and improve the approach in the design process. They are drawn from a wide range of fields, and are synthesised from theory and empirical evidence.

AB - Visualisation is an integral part of many scientific areas and is reportedly an important tool for learning and teaching. One reason for this is the picture superior effect. Nevertheless, little research endeavour has been carried out so far to effectively apply visualisation principles to the emerging field of business process analytics. In this paper a novel multi-parametric visualisation approach is proposed in such a context. General visualisation principles are used to create, evaluate, and improve the approach in the design process. They are drawn from a wide range of fields, and are synthesised from theory and empirical evidence.

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DO - 10.1007/978-3-319-60048-2_8

M3 - Contribution to conference proceedings

SN - 978-3-319-60048-2

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BT - Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings

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Bachhofner S, Kis I, Di Ciccio C, Mendling J. Towards a Multi-parametric Visualisation Approach for Business Process Analytics. in Andreas Metzger, Anne Persson, Hrsg., Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings. Essen, Germany: Springer. 2017. S. 85 - 91 doi: 10.1007/978-3-319-60048-2_8