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A visual analytics environment for the assessment of information quality of performance models

Conference Paper
Publication Date:
2021
abstract:
In this paper we extend the flexibility of a visual analytic approach featured to performance model's development to include data quality procedures and tests. The resulting environment is helpful to guide the user to an Information Quality-aware development of Performance models. This interactive visual analytics environment offers to the user the possibility to produce and compare information quality-aware indicators.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
Visual Analytics; Data Quality; Performance Models; Ontology-based data integration
List of contributors:
Angelini, M.; Daraio, C.; Urban, L.
Authors of the University:
ANGELINI MARCO
Handle:
https://iris.unilink.it/handle/20.500.14085/26343
Book title:
18th International Conference on Scientometrics and Informetrics, ISSI 2021
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