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.

A visual analytics environment for the assessment of information quality of performance models / Angelini, M.; Daraio, C.; Urban, L.. - (2021), pp. 53-58. (Intervento presentato al convegno 18th International Conference on Scientometrics and Informetrics Conference, ISSI 2021 tenutosi a KU Leuven, bel).

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

Angelini M.
;
Daraio C.;
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.
2021
18th International Conference on Scientometrics and Informetrics Conference, ISSI 2021
Visual Analytics; Data Quality; Performance Models; Ontology-based data integration
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A visual analytics environment for the assessment of information quality of performance models / Angelini, M.; Daraio, C.; Urban, L.. - (2021), pp. 53-58. (Intervento presentato al convegno 18th International Conference on Scientometrics and Informetrics Conference, ISSI 2021 tenutosi a KU Leuven, bel).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1578370
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