Bachhofner, Stefan, Kis, Isabella, Di Ciccio, Claudio, Mendling, Jan. 2017. Towards a Multi-parametric Visualisation Approach for Business Process Analytics. In Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings, Hrsg. Andreas Metzger, Anne Persson, 85-91. Essen, Germany: Springer.
BibTeX
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.
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Status of publication | Published |
---|---|
Affiliation | WU |
Type of publication | Contribution to conference proceedings |
Language | English |
Title | Towards a Multi-parametric Visualisation Approach for Business Process Analytics |
Title of whole publication | Advanced Information Systems Engineering Workshops: CAISE 2017 International Workshops, Essen, Germany, June 12--16, 2017, Proceedings |
Editor | Andreas Metzger, Anne Persson |
Page from | 85 |
Page to | 91 |
Location | Essen, Germany |
Publisher | Springer |
Year | 2017 |
ISBN | 978-3-319-60048-2 |
URL | http://dx.doi.org/10.1007/978-3-319-60048-2_8 |
Associations
- People
- Bachhofner, Stefan (Details)
- Kis, Isabella (Former researcher)
- Di Ciccio, Claudio (Former researcher)
- Mendling, Jan (Details)
- Organization
- Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
- Research areas (Ă–STAT Classification 'Statistik Austria')
- 1105 Computer software (Details)
- 1108 Informatics (Details)
- 1109 Information and data processing (Details)
- 1161 Human-computer interaction (Details)
- 5306 Business data processing (Details)
- 5367 Management information systems (Details)