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Graph BI & analytics: current state and future challenges

Author
Ghrab, A.; Romero, O.; Jouili, S.; Skhiri, S.
Type of activity
Presentation of work at congresses
Name of edition
20th International Conference on Big Data Analytics and Knowledge Discovery
Date of publication
2018
Presentation's date
2018-09-03
Book of congress proceedings
Big Data Analytics and Knowledge Discovery, 20th International Conference, DaWaK 2018: Regensburg, Germany, September 3-6, 2018: proceedings
First page
3
Last page
18
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-319-98539-8_1 Open in new window
Repository
http://hdl.handle.net/2117/127964 Open in new window
URL
https://link.springer.com/chapter/10.1007%2F978-3-319-98539-8_1 Open in new window
Abstract
In an increasingly competitive market, making well-informed decisions requires the analysis of a wide range of heterogeneous, large and complex data. This paper focuses on the emerging field of graph warehousing. Graphs are widespread structures that yield a great expressive power. They are used for modeling highly complex and interconnected domains, and efficiently solving emerging big data application. This paper presents the current status and open challenges of graph BI and analytics, and mo...
Citation
Ghrab, A. [et al.]. Graph BI & analytics: current state and future challenges. A: International Conference on Big Data Analytics and Knowledge Discovery. "Big Data Analytics and Knowledge Discovery, 20th International Conference, DaWaK 2018: Regensburg, Germany, September 3-6, 2018: proceedings". Berlín: Springer, 2018, p. 3-18.
Keywords
Future challenges, Graph BI, Graph analytics, State of the art
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants

  • Ghrab, Amine  (author and speaker )
  • Romero Moral, Oscar  (author and speaker )
  • Jouili, Salim  (author and speaker )
  • Skhiri, Sabri  (author and speaker )

Attachments