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Scalable online machine learning for predictive analytics and real-time interactive visualization

Objective

PROTEUS mission is to investigate and develop ready-to-use scalable online machine learning algorithms and interactive visualization techniques for real-time predictive analytics to deal with extremely large data sets and data streams. The developed algorithms and techniques will form a library to be integrated into an enhanced version of Apache Flink, the EU Big Data platform. PROTEUS will contribute to the EU Big Data area by addressing fundamental challenges related to the scalability and responsiveness of analytics capabilities. The requirements are defined by a steelmaking industrial use case. The techniques developed in PROTEUS are however, general, flexible and portable to all data stream-based domains. In particular, the project will go beyond the current state-of-art technology by making the following specific original contributions:
i) Real-time scalable machine learning for massive, high-velocity and complex data streams analytics;
ii) Real-time hybrid computation, batch data and data streams;
iii) Real-time interactive visual analytics for Big Data;
iv) Enhancement of Apache Flink, the EU Big Data platform; and
v) Real-world industrial validation of the technology developed
The PROTEUS impact is manifold: i) strategic, by reducing the gap and dependency from the US technology, empowering the EU Big Data industry through the enrichment of the EU platform Apache Flink; ii) economic, by fostering the development of new skills and new job positions and opportunities towards economic growth; iii) industrial, by considering real-world requirements from industry and by validating the outcome on an operational setting, and iv) scientific, by developing original hybrid and streaming analytic architectures that enable scalable online machine learning strategies and advanced interactive visualisation techniques that are applicable for general data streams in other domains.

Call for proposal

H2020-ICT-2015
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

BOURNEMOUTH UNIVERSITY
Address
Fern Barrow Bournemouth University
BH12 5BB Poole
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 627 774,73

Participants (5)

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Germany
EU contribution
€ 1 035 750
Address
Trippstadter Strasse 122
67663 Kaiserslautern
Activity type
Research Organisations
ARCELORMITTAL INNOVACION INVESTIGACION E INVERSION SL
Spain
EU contribution
€ 215 625
Address
Lugar Residencia La Granda Sn
33418 Gozon
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
TREELOGIC TELEMATICA Y LOGICA RACIONAL PARA LA EMPRESA EUROPEA SL

Participation ended

Spain
EU contribution
€ 700 294,39
Address
Parque Tecnologico De Asturias Parcela 30
33428 Llanera Asturias
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Lambdoop Solutions S.L.

Participation ended

Spain
EU contribution
€ 243 330,88
Address
Avenida De Manoteras 38
28050 Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
TRILATERAL RESEARCH LTD
United Kingdom
EU contribution
€ 333 750
Address
One Knightsbridge Green Office 5.12, 5Th Floor
SW1X 7QA London
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)