Data Analytics and Management in Data Intensive Domains : 21st International Conference, DAMDID/RCDL 2019, Kazan, Russia, October 15¿18, 2019, Revised Selected Papers

Alexander Elizarov

ISBN 10: 3030519120 / ISBN 13: 9783030519124

Editore: Springer International Publishing, 2020

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the post-conference proceedings of the 21st International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2019, held in Kazan, Russia, in October 2019.The 11 revised full papers presented together with four invited papers were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical sections: advanced data analysis methods; data infrastructures and integrated information systems; models, ontologies and applications; data analysis in astronomy; information extraction from text; distributed computing; data science for education.

Codice articolo 9783030519124

Dati bibliografici

• Titolo: Data Analytics and Management in Data Intensive Domains : 21st International Conference, DAMDID/RCDL 2019, Kazan, Russia, October 15¿18, 2019, Revised Selected Papers
• Editore: Springer International Publishing
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030519120
• ISBN 13: 9783030519124
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 15 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 15 millimetri di profondità
• Peso: 406 grammi

Descrizione articolo

Riassunto

This book constitutes the post-conference proceedings of the 21st International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2019, held in Kazan, Russia, in October 2019.

The 11 revised full papers presented together with four invited papers were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical sections: advanced data analysis methods; data infrastructures and integrated information systems; models, ontologies and applications; data analysis in astronomy; information extraction from text; distributed computing; data science for education.