Skip to content

Category: Data science

Graph BI & Analytics: Current State and Future Challenges

14.06.2018
Our paper “Graph BI & Analytics: Current State and Future Challenges” has been accepted for publication at the 20th International Conference on Big Data Analytics and Knowledge Discovery, taking place

Second Spring School Big Data Analytics

9.03.2018
EURA NOVA Research Center is both proud and happy to lead the Second Spring School Big Data Analytics that will be held in Tunis, from the 20th to the 22nd of March

Discovering Interesting Patterns in Large Graph Cubes

31.01.2018
Due to the increasing importance and volume of highly interconnected data, such as in social or information networks, a plethora of graph mining techniques have been designed to enable the

Next Workshop on Graph Business Intelligence

21.04.2017
EURA NOVA is organizing their second workshop collocated with an international conference. This time, the workshop will be collocated with  the 21th European Conference on Advances in Databases and Information

ENX University in Tunis

10.02.2017
On the 9th and 10th of May 2017, the R&D Director of EURA NOVA Sabri Skhiri will lecture on Big Data and Data Science at the Polytechnic School of Tunisia.

BOOT CAMP 2017

7.07.2016
EURA NOVA is launching an intense 3-month I.T. boot camp starting September 2017.

Installing TensorFlow with distributed GPU support.

4.03.2016
Today, I wrote my first “Hello World” script using the freshly open-sourced version of TensorFlow with distributed GPU support. At the time of this writing, the binary releases of TensorFlow don’t

EURA NOVA Internships & Master Thesis

17.11.2015
As of each year since its foundation, EURA NOVA proposes Master thesis subjects and research internships, led in collaboration with academic institutions.

ICML 2015

22.09.2015
  Introduction The International Conference on Machine Learning is one of the most important annual event in the world of machine learning. The place is where the most renowned researchers

A framework for building OLAP cubes on graphs

30.07.2015
Graphs are widespread structures providing a powerful abstraction for modeling networked data. Large and complex graphs have emerged in various domains such as social networks, bioinformatics, and chemical data. However,
Load More
Tracks
Field of expertises
Academic collaboration