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 (u. a.)

ISBN 10: 3030611329 / ISBN 13: 9783030611323

Published by Springer, 2020

About this Item

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 (u. a.) | Taschenbuch | x | Englisch | 2020 | Springer | EAN 9783030611323 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 118937296

Bibliographic Details

• Title: 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
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 3030611329
• ISBN 13: 9783030611323
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 12D millimeters 235 millimeters width by 155 millimeters height by 12 millimeters depth
• Weight: 324 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.