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Conferences

Activity Conferences

05-07-2018

Third Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management

EURA NOVA Research center is proud and excited to organize the third workshop on Real-time and Stream analytics in Big Data, collocated with the 2018 IEEE conference on Big Data. The workshop will take place in December in Seattle, USA.

As the world become more connected, flood of digital data is getting generated, in high volume, and in a high velocity. For industries such as financial markets, telecommunications, Smart Cities, manufacturing, or healthcare, there is an increasing need to process, and analyze, these data streams in real time.

These past two years, we have seen arriving another usage of Stream & complex event processing: the data management. New architecture patterns have been proposed to resolve data pipeline and data management within enterprise.

After the success of the two first edition, this is an excellent opportunity to engage in discussions with experts and researchers, to refine new opportunities and use cases required by the industry.

Authors are invited to contribute to the conference by submitting articles in the (among others) following areas: Scalable real-time decision algorithms, IoT analytics & stream mining, Data pipelines & Data management with Streams and Stream ETL and Real-Time Data Warehouse.

 

Want to submit a paper? Check out the workshop website to find all the information you  will need. Your paper will be reviewed by a prestigious panel of international experts from both the academic and the industrial worlds.

Conferences Graph

14-06-2018

Graph BI & Analytics: Current State and Future Challenges

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 in Regensburg, Germany.

The paper presents the state of the art of graph BI & analytics, with a focus on graph warehousing. We survey the topics of graph modelling, management, querying, and processing in graph warehouses. Then we conclude by discussing future research directions for solving complex graph problems, building native graph components and intelligent techniques to assist end-users in building and analysing the graph.

More importantly, the paper calls for the development of intelligent, efficient and industry-grade graph data warehousing systems to support the structure-driven management and analytics of data efficiently. While adopting a template that is similar to the traditional BI systems, the graph BI that is presented here extends current systems with graph analytics capabilities that deliver graph-derived insights. The paper will be presented in September at DaWak 2018, but you can already read the abstract bellow. If you wish to go deeper into the subject, don’t hesitate to contact our research department at research@euranova.eu.

 

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 motivates the need for new warehousing frameworks aware of the topological nature of graphs. We survey the topics of graph modeling, management, processing and analysis in graph warehouses. Then we conclude by discussing future research directions and positioning them within a unified architecture of a graph BI & analytics framework.

Conferences

19-02-2018

The Next Activities of our R&D Centre in Marseille

The French branch of EURA NOVA will take part in two great tech events in the following days and weeks.

 

On the 22nd of February, data scientist Thomas Peel will give a talk titled “Machine Learning à l’ère du RGPD” (Machine learning and the General Data Protection Regulation) on the opening day of the Colloquium intelligence artificielle, machine learning, data science to be held at the grand amphitheatre of the Saint-Charles campus in Marseille. Other great speakers from INRIA, Google, Provence Innovation, and Criteo will be featured. The event is free but registration is mandatory.

 

Practical information:

What? Colloquium intelligence artificielle, machine learning, data science

When? Thursday 22nd of February

Where? Grand amphithéâtre, campus Saint-Charles, – 3, place Victor Hugo – case 39 – 13331 MARSEILLE Cedex 03

Registration: : https://framaforms.org/conferences-ia-data-science-machine-learning-i2mlis-1518019875

 

On the 12th of March, the French branch of EURA NOVA is organising the Marseille Community Event, supported by the Neo4j GraphTour. Two speakers are already announced: R&D project manager Cécile Péreaira will present a text-mining use case with Neo4j in biology, and data scientist Antoine Bonnefoy will sum up the Parisian Neo4j conference, from technology and business viewpoints. After the talks, all attendees will be offered a casual dinner to pursue the discussion.

 

Practical information:

What? Marseille Community Event – Neo4j GraphTour

When? Monday the 12th of March, from 6:30 PM to 8:30 PM

Where? Le Wagon, 167 Rue Paradis,  Marseille

Registration: : https://www.eventbrite.fr/e/billets-neo4j-graphtour-marseille-community-event-42714338737?utm_campaign=new_event_email&utm_medium=email&utm_source=eb_email&utm_term=viewmyevent_button