Software Foundations for Data Interoperability and Large Scale Graph Data Analytics : 4th International Workshop, SFDI 2020, and 2nd International Workshop, LSGDA 2020, held in Conjunction with VLDB 2020, Tokyo, Japan, September 4, 2020, Proceedings

Lu Qin

ISBN 10: 3030611329 / ISBN 13: 9783030611323

Editore: Springer International Publishing, 2020

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Druck auf Anfrage Neuware - Printed after ordering - This book constitutes refereed proceedings of the4th International Workshop on Software Foundations for Data Interoperability, SFDI 2020, and 2nd International Workshop on Large Scale Graph Data Analytics, LSGDA 2020, held in Conjunction with VLDB 2020, in September 2020. Due to the COVID-19 pandemic the conference was held online.The 11 full papers and 4 short papers were thoroughly reviewed and selected from 38 submissions. The volme presentsoriginal research and application papers on the development of novel graph analytics models, scalable graph analytics techniques and systems, data integration, and data exchange.

Codice articolo 9783030611323

Dati bibliografici

• Titolo: Software Foundations for Data Interoperability and Large Scale Graph Data Analytics : 4th International Workshop, SFDI 2020, and 2nd International Workshop, LSGDA 2020, held in Conjunction with VLDB 2020, Tokyo, Japan, September 4, 2020, Proceedings
• Editore: Springer International Publishing
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030611329
• ISBN 13: 9783030611323
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 12 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 12 millimetri di profondità
• Peso: 324 grammi

Descrizione articolo

Riassunto

This book constitutes refereed proceedings of the 4th International Workshop on Software Foundations for Data Interoperability, SFDI 2020, and 2nd International Workshop on Large Scale Graph Data Analytics, LSGDA 2020, held in Conjunction with VLDB 2020, in September 2020. Due to the COVID-19 pandemic the conference was held online. 

The 11 full papers and 4 short papers were thoroughly reviewed and selected from 38 submissions. The volme presents original research and application papers on the development of novel graph analytics models, scalable graph analytics techniques and systems, data integration, and data exchange.