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
Published on 5. November 2020
X, 195 pages
978-3-030-61133-0 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
X, 195 p. 141 illus.
File size
15,27 MB
ISBN-13
978-3-030-61133-0 (9783030611330)
DOI
10.1007/978-3-030-61133-0
Schweitzer Classification
Other editions
Additional editions
Lu Qin | Wenjie Zhang | Ying Zhang
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
Book
11/2020
Springer
€53.49
Shipment within 7-9 days
Content
Large Scale Graph Data Analytics.- Software Foundations for Data Interoperability.
