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Record link: 
http://hdl.handle.net/20.500.12708/56051
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Title: 
QualityFlow: Provenance Generation from Data Quality
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Citation: 
Bors, C., Gschwandtner, T., & Miksch, S. (2015). QualityFlow: Provenance Generation from Data Quality. In R. Maciejewski & F. Marton (Eds.), Proceedings of the Eurographics Conference on Visualization (EuroVis) - Posters 2015 (p. 3). Eurographics Association. http://hdl.handle.net/20.500.12708/56051
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Publication Type: 
Inproceedings - Poster Contribution
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Authors: 
Bors, Christian 
Gschwandtner, Theresia 
Miksch, Silvia 
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Organisational Unit: 
E193-07 - Forschungsbereich Visual Analytics 
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Published in: 
Proceedings of the Eurographics Conference on Visualization (EuroVis) - Posters 2015 
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Date (published): 
2015
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Event name: 
Eurographics Conference on Visualization (EuroVis 2015) 
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Event date: 
25-May-2015 - 29-May-2015
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Event place: 
Cagliari, Sardinia, Italy, EU
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Number of Pages: 
3
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Publisher: 
Eurographics Association
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Peer reviewed: 
Yes
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Keywords: 
visualization; data quality; metrics
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Abstract: 
If properly recorded, provenance information of a data set reveals the story about its origins, which hands it passed through, and how the data has been modified. Moreover, each data operation may have considerable impact on the quality of the data set. This information is of great value for anyone who needs to decide if the quality of a data set is sufficient for further processing. However, curr...
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Research Areas: 
Business Informatics: 30%
Visual Computing and Human-Centered Technology: 40%
Logic and Computation: 30%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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