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.

Towards a multi-parametric visualisation approach for business process analytics / Bachhofner, Stefan; Kis, Isabella; DI CICCIO, Claudio; Mendling, Jan. - 286:(2017), pp. 85-91. (Intervento presentato al convegno Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops tenutosi a Essen; Germany) [10.1007/978-3-319-60048-2_8].

Towards a multi-parametric visualisation approach for business process analytics

Di Ciccio Claudio;
2017

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.
2017
Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops
business process analytics; business process management; process mining; visualisation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Towards a multi-parametric visualisation approach for business process analytics / Bachhofner, Stefan; Kis, Isabella; DI CICCIO, Claudio; Mendling, Jan. - 286:(2017), pp. 85-91. (Intervento presentato al convegno Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops tenutosi a Essen; Germany) [10.1007/978-3-319-60048-2_8].
File allegati a questo prodotto
File Dimensione Formato  
Bachhofner_Multi-parametric_2017.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 694.83 kB
Formato Adobe PDF
694.83 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1372923
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 8
social impact