• PROTEUS
    • Project fiche
  • PROJECT DESCRIPTION
    • Hybrid processing engine
    • Scalable Online Machine Learning
    • Real-time Interactive Visual Analytics
    • Industrial Validation
  • PARTNERS
  • RESULTS
    • Software
    • Public deliverables
    • Publications
    • Dissemination
  • BLOG
  • CONTACT
  • PROTEUS
    • Project fiche
  • PROJECT DESCRIPTION
    • Hybrid processing engine
    • Scalable Online Machine Learning
    • Real-time Interactive Visual Analytics
    • Industrial Validation
  • PARTNERS
  • RESULTS
    • Software
    • Public deliverables
    • Publications
    • Dissemination
  • BLOG
  • CONTACT
Scalable online machine learning
for predictive analytics and
real-time interactive visualization

Sitemap

  • PROTEUS
    • Project fiche
  • PROJECT DESCRIPTION
    • Hybrid processing engine
    • Scalable Online Machine Learning
    • Real-time Interactive Visual Analytics
    • Industrial Validation
  • PARTNERS
  • RESULTS
    • Software
    • Public deliverables
    • Publications
    • Dissemination
  • BLOG
  • CONTACT

Blog

  • 11/21/2017 - Workshop at the European Big Data Value Forum: Industrial Data Platforms for the Manufacturing domain
  • 10/19/2017 - PROTEUS presented at the LibreCon 2017
  • 09/12/2017 - Presentation at the Flink Forward Berlin 2017
  • 07/05/2017 - First review meeting
  • 05/23/2017 - PROTEUS at the Digital Business World Congress (DES 2017)
  • 03/20/2017 - PROTEUS at the EDBT/ICDT 2017
  • 02/08/2017 - Upcoming consortium meeting in Berlin (26-28 April 2017)
  • 11/17/2016 - PROTEUS presented at the Big Data Spain 2016
  • 10/20/2016 - Public events & consortium meeting in Bournemouth
  • 08/23/2016 - FiCloud 2016
  • 05/23/2016 - Workshop and Tutorial on “Large-scale Learning from Data Streams in Evolving Environments”
  • 03/10/2016 - Demo paper accepted in SIGMOD 2016
  • 01/21/2016 - Flink presentation at the University of Oviedo
  • 09/28/2015 - Proteus in the 4th edition of Big Data Spain with Rubén Casado

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NEWS & EVENTS


Workshop at the European Big Data Value Forum: Industrial Data Platforms for the Manufacturing domain

Tue 21 Nov 2017

PROTEUS, jointly with other initiatives and project (like our sister project TOREADOR) will be jointly organize a workshop on Industrial Data Platforms for the Manufacturing domain during the European Big Data Value Forum (EBDVF), held in Versailles (Palais des Congrès), France from 21st to 23rd November 2017. The EBDVF results of a joint initiative between the Big Data Value Association (BDVA) and the European Data Forum (EDF), as a key European event for industry professionals, business developers, researchers, and policy makers to discuss the challenges and opportunities of the European data economy and data-driven innovation in Europe.

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PROTEUS presented at the LibreCon 2017

Thu 19 Oct 2017

PROTEUS has been presented during LibreCon 2017, the Business and Open Technologies Conference, held in the Edificio CINC at Cidade da Cultura at Santiago de Compostela (Spain), October 19-20.

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Presentation at the Flink Forward Berlin 2017

Tue 12 Sep 2017
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First review meeting

Wed 05 Jul 2017

PROTEUS has successfully had a first review meeting, evaluating the project’s results in the first half of the project. The meeting was held by the European Commision in Luxembourg, and was a nice opportunity for both partners and reviewers to exchange thoughts and ideas about the future steps in the project implementation.

PROTEUS at the Digital Business World Congress (DES 2017)

Tue 23 May 2017

PROTEUS was presented at the Digital Business World Congress (DES 2017), as part of the session “Boosting operational efficiency”. This session provided a multidisciplinary view in order to understand how new technologies can help to improve operational efficiency, define performance targets and align them with the business vision. PROTEUS was presented by Treelogic as an industrial use case on how big data technologies can support operational efficiency by enabling data-driven decision making in real time.

 



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This project is funded by the European Union (Horizon 2020, Ref: 687691)


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This project is funded by the European Union (Horizon 2020, Ref: 687691)
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