Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods.

Karamanou, Areti; Brimos, Petros; Kalampokis, Evangelos; Tarabanis, Konstantinos

Karamanou, Areti; Brimos, Petros; Kalampokis, Evangelos; Tarabanis, Konstantinos.

Afiliación

Karamanou A; Information Systems Lab, Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece.
Brimos P; Information Systems Lab, Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece.
Kalampokis E; Information Systems Lab, Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece.
Tarabanis K; Information Systems Lab, Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece.

Sensors (Basel) ; 22(24)2022 Dec 10.

Article en En | MEDLINE | ID: mdl-36560054

Asunto(s)

Inteligencia Artificial; Aprendizaje Automático; Algoritmos; Gobierno

Palabras clave

data quality; dynamic government data; eXplainable artificial intelligence; high-valuable data; isolation forest; open government data; real-time data; traffic data

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Grecia

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