Opis projektu 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. Pokaż cel projektu Ukryj cel projektu 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. Dziedzina nauki 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 Program(-y) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Temat(-y) ICT-2013.9.5 - FET-Open Xtrack Zaproszenie do składania wniosków FP7-ICT-2013-X Zobacz inne projekty w ramach tego zaproszenia System finansowania CP - Collaborative project (generic) Kontakt do koordynatora Saso DZEROVSKI Prof. Koordynator INSTITUT JOZEF STEFAN Wkład UE € 597 375,00 Adres Jamova 39 1000 Ljubljana Słowenia Zobacz na mapie Region Slovenija Zahodna Slovenija Osrednjeslovenska Rodzaj działalności Research Organisations Kontakt administracyjny Jadran Lenarcic (Prof.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Uczestnicy (4) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko RUDER BOSKOVIC INSTITUTE Chorwacja Wkład UE € 202 320,00 Adres Bijenicka cesta 54 10000 Zagreb Zobacz na mapie Region Hrvatska Grad Zagreb Grad Zagreb Rodzaj działalności Research Organisations Kontakt administracyjny Marijana Klasnic Kozar (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych UNIVERSITA DEGLI STUDI DI BARI ALDO MORO Włochy Wkład UE € 508 800,00 Adres PIAZZA UMBERTO I 1 70121 Bari Zobacz na mapie Region Sud Puglia Bari Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Rosaria LACALAMITA (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Ss. CYRIL AND METHODIUS UNIVERSITY IN SKOPJE Macedonia Północna Wkład UE € 163 200,00 Adres BLVD GOCE DELCEV 9 1000 Skopje Zobacz na mapie Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Ivica Dimitrovski (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA Portugalia Wkład UE € 276 600,00 Adres RUA DR ROBERTO FRIAS CAMPUS DA FEUP 4200 465 Porto Zobacz na mapie Region Continente Norte Área Metropolitana do Porto Rodzaj działalności Research Organisations Kontakt administracyjny Marta Barbas (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych