Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics
 
conference paper

GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics

Arora, Akhil  
•
Bhattacharya, Arnab
•
Fletcher, George
January 1, 2019
Sigmod '19: Proceedings Of The 2019 International Conference On Management Of Data
ACM SIGMOD International Conference on Management of Data (SIGMOD)

GRADES-NDA 2019 is the second joint meeting of the GRADES and NDA workshops, which were each independently organized at previous SIGMOD-PODS meetings, GRADES since 2013 and NDA since 2016. The focus of GRADES-NDA is the application areas, usage scenarios, and open challenges in managing large-scale graph-shaped data. To summarize, GRADES-NDA aims to present technical contributions inside graph, RDF, and other data management systems on massive graphs.

  • Details
  • Metrics
Type
conference paper
DOI
10.1145/3299869.3323667
Web of Science ID

WOS:000501538500173

Author(s)
Arora, Akhil  
Bhattacharya, Arnab
Fletcher, George
Date Issued

2019-01-01

Publisher

ASSOC COMPUTING MACHINERY

Publisher place

New York

Published in
Sigmod '19: Proceedings Of The 2019 International Conference On Management Of Data
ISBN of the book

978-1-4503-5643-5

Series title/Series vol.

International Conference on Management of Data

Start page

2064

End page

2065

Subjects

graph data management

•

network shaped data

•

big data

•

data mining

•

machine learning

•

systems

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DLAB  
Event nameEvent placeEvent date
ACM SIGMOD International Conference on Management of Data (SIGMOD)

Amsterdam, NETHERLANDS

Jun 30-Jul 05, 2019

Available on Infoscience
December 26, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/164201
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés