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, Wenjie Zhang, Ying Zhang, You Peng, Hiroyuki Kato, Wei Wang, Chuan Xiao (eds.).

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 pandem...

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Bibliographic Details
Corporate Authors: International Workshop on Software Foundations for Data Interoperability Online, International Conference on Very Large Data Bases, International Workshop on Large Scale Graph Data Analytics
Other Authors: Katō, Hiroyuki (Editor), Peng, You (Editor), Qin, Lu (Editor), Wang, Wei (Computer engineer) (Editor), Xiao, Chuan (Editor), Zhang, Wenjie (Computer scientist) (Editor), Zhang, Ying (Editor)
Format: Ebook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Series:Communications in computer and information science ; 1281.
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Online Access:Springer eBooks
Description
Summary: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.
Item Description:Includes author index.
Physical Description:1 online resource (x, 195 pages) : illustrations.
ISBN:3030611329
3030611337
9783030611323
9783030611330
ISSN:1865-0929 ;
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