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.
;
2021-01-01

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
Inglese
Inglese
18th International Conference on Scientometrics and Informetrics, ISSI 2021
18th International Conference on Scientometrics and Informetrics Conference, ISSI 2021
53
58
6
978-90-803282-2-8
International Society for Scientometrics and Informetrics
Esperti anonimi
KU Leuven, bel
Visual Analytics
Data Quality
Performance Models
Ontology-based data integration
3
none
Angelini, M.; Daraio, C.; Urban, L.
273
info:eu-repo/semantics/conferenceObject
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14085/26343
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