Project description FET-Open XtrackThe ultimate goal of the MAESTRA project is to develop predictive modelling methods capable of addressing massive sets of network data incompletely labelled with structured outputs. Show the project objective Hide the project objective The need for machine learning (ML) and data mining (DM) is ever growing due to the increased pervasiveness of data analysis tasks in almost every area of life, including business, science and technology. Not only is the pervasiveness of data analysis tasks increasing, but so is their complexity. We are increasingly often facing predictive modelling tasks involving one or several of the following complexity aspects: (a)structured data as input or output of the prediction process, (b)very large/massive datasets, with many examples and/or many input/output dimensions, where data may be streaming at high rates, (c)incompletely/partially labelled data, and (d)data placed in a spatio-temporal or network context. Each of these is a major challenge to current ML/DM approaches and is the central topic of active research in areas such as structured-output prediction, mining data streams, semi-supervised learning, and mining network data. The simultaneous presence of several of them is a much harder, currently insurmountable, challenge and severely limits the applicability of ML/DM approaches.The proposed project will develop predictive modelling methods capable of simultaneously addressing several (ultimately all) of the above complexity aspects. In the most complex case, the methods would be able to address massive sets of network data incompletely labelled with structured outputs. We will develop the foundations (basic concepts and notions) for and the methodology (design and implementation of algorithms) of such approaches. We will demonstrate the potential and utility of the methods on showcase problems from a diverse set of application areas (molecular biology, sensor networks, mutimedia, and social networks). Some of these applications, such as relating the composition of microbiota to human health and the design of social media aggregators, have the potential of transformational impact on important aspects of society, such as personalized medicine and social media. Fields of science natural sciencescomputer and information sciencesdata sciencedata miningengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensorsmedical and health scienceshealth sciencespersonalized medicinenatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencesbiological sciencesmolecular biology Programme(s) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Topic(s) ICT-2013.9.5 - FET-Open Xtrack Call for proposal FP7-ICT-2013-X See other projects for this call Funding Scheme CP - Collaborative project (generic) Coordinator Contact Saso DZEROVSKI Prof. Coordinator INSTITUT JOZEF STEFAN Address Jamova 39 1000 Ljubljana Slovenia See on map Region Slovenija Zahodna Slovenija Osrednjeslovenska Administrative Contact Jadran Lenarcic (Prof.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution € 597 375,00 Participants (4) Sort alphabetically Sort by EU Contribution Expand all Collapse all RUDER BOSKOVIC INSTITUTE Croatia EU contribution € 202 320,00 Address Bijenicka cesta 54 10000 Zagreb See on map Region Hrvatska Grad Zagreb Grad Zagreb Activity type Research Organisations Administrative Contact Marijana Klasnic Kozar (Ms.) Links Contact the organisation Opens in new window Website Opens in new window UNIVERSITA DEGLI STUDI DI BARI ALDO MORO Italy EU contribution € 508 800,00 Address Piazza umberto i 1 70121 Bari See on map Region Sud Puglia Bari Activity type Higher or Secondary Education Establishments Administrative Contact Rosaria LACALAMITA (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Ss. CYRIL AND METHODIUS UNIVERSITY IN SKOPJE North Macedonia EU contribution € 163 200,00 Address Blvd goce delcev 9 1000 Skopje See on map Activity type Higher or Secondary Education Establishments Administrative Contact Ivica Dimitrovski (Dr.) Links Contact the organisation Opens in new window Website Opens in new window INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA Portugal EU contribution € 276 600,00 Address Rua dr roberto frias campus da feup 4200 465 Porto See on map Region Continente Norte Área Metropolitana do Porto Activity type Research Organisations Administrative Contact Marta Barbas (Ms.) Links Contact the organisation Opens in new window Website Opens in new window
