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; andv) Real-world industrial validation of the technology developedThe 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. Fields of science natural sciencesmathematicspure mathematicsalgebralinear algebranatural sciencescomputer and information sciencessoftwarenatural sciencescomputer and information sciencesdata sciencebig datanatural sciencescomputer and information sciencesdata sciencedata miningnatural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning Programme(s) H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) Main Programme Topic(s) ICT-16-2015 - Big data - research Call for proposal H2020-ICT-2015 See other projects for this call Funding Scheme RIA - Research and Innovation action Coordinator BOURNEMOUTH UNIVERSITY Net EU contribution € 627 774,73 Address Fern barrow bournemouth university BH12 5BB Poole United Kingdom See on map Region South West (England) Dorset and Somerset Bournemouth Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Participants (5) Sort alphabetically Sort by Net EU contribution Expand all Collapse all DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH Germany Net EU contribution € 1 035 750,00 Address Trippstadter strasse 122 67663 Kaiserslautern See on map Region Rheinland-Pfalz Rheinhessen-Pfalz Kaiserslautern, Kreisfreie Stadt Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 ARCELORMITTAL INNOVACION INVESTIGACION E INVERSION SL Spain Net EU contribution € 215 625,00 Address Lugar residencia la granda sn 33418 Gozon See on map Region Noroeste Principado de Asturias Asturias Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 TREELOGIC TELEMATICA Y LOGICA RACIONAL PARA LA EMPRESA EUROPEA SL Participation ended Spain Net EU contribution € 700 294,39 Address Parque tecnologico de asturias parcela 30 33428 Llanera asturias See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Noroeste Principado de Asturias Asturias Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Lambdoop Solutions S.L. Participation ended Spain Net EU contribution € 243 330,88 Address Avenida de manoteras 38 28050 Madrid See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region Comunidad de Madrid Comunidad de Madrid Madrid Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 TRILATERAL RESEARCH LTD United Kingdom Net EU contribution € 333 750,00 Address One knightsbridge green office 5.12, 5th floor SW1X 7QA London See on map SME The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed. Yes Region London Inner London — West Westminster Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
