e-LICO
e-Laboratory for Interdisciplinary Collaborative Research in Data Mining and Data-Intensive Sciences
| Coordinatore | UNIVERSITE DE GENEVE
Organization address
address: Route de Drize 7 contact info |
| Nazionalità Coordinatore | Switzerland [CH] |
| Totale costo | 4˙468˙853 € |
| EC contributo | 3˙417˙403 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2007-3 |
| Funding Scheme | CP |
| Anno di inizio | 2009 |
| Periodo (anno-mese-giorno) | 2009-02-01 - 2012-01-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITE DE GENEVE
Organization address
address: Route de Drize 7 contact info |
CH (Carouge) | coordinator | 0.00 |
| 2 |
ETHNIKO IDRYMA EREVNON
Organization address
address: Vassileos Constantinou Avenue contact info |
EL (ATHENS) | participant | 0.00 |
| 3 |
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)
Organization address
address: 101 Rue de Tolbiac contact info |
FR (PARIS) | participant | 0.00 |
| 4 |
JOZEF STEFAN INSTITUTE
Organization address
address: Jamova contact info |
SI (LJUBLJANA) | participant | 0.00 |
| 5 |
POZNAN UNIVERSITY OF TECHNOLOGY
Organization address
address: Pl. Marii Sklodowskiej-Curie contact info |
PL (POZNAN) | participant | 0.00 |
| 6 |
RAPID-I GMBH
Organization address
address: in der Oeverscheidt 18 contact info |
DE (DORTMUND) | participant | 0.00 |
| 7 |
RUDER BOSKOVIC INSTITUTE
Organization address
address: Bijenicka cesta contact info |
HR (ZAGREB) | participant | 0.00 |
| 8 |
THE UNIVERSITY OF MANCHESTER
Organization address
address: OXFORD ROAD contact info |
UK (MANCHESTER) | participant | 0.00 |
| 9 |
UNIVERSITAET ZUERICH
Organization address
address: Raemistrasse contact info |
CH (ZURICH) | participant | 0.00 |
Mappa
Word cloud
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Obiettivo del progetto (Objective)
The goal of the e-LICO project is to build a virtual laboratory for interdisciplinary collaborative research in data mining and data-intensive sciences. The proposed e-lab will comprise three layers: the e-science and data mining layers will form a generic research environment that can be adapted to different scientific domains by customizing the application layer. The e-science layer, built on an open-source e-science infrastructure developed by one of the partners, will support content creation through collaboration at multiple scales and degrees of commitment---ranging from small, contract-bound teams to voluntary, constraint-free participation in dynamic virtual communities. The data mining layer will be the distinctive core of e-LICO; it will provide comprehensive multimedia (structured records, text, images, signals) data mining tools. Standard tools will be augmented with preprocessing or learning algorithms developed specifically to meet challenges of data-intensive, knowledge rich sciences, such as ultra-high dimensionality or undersampled data. Methodologically sound use of these tools will be ensured by a knowledge-driven data mining assistant, which will rely on a data mining ontology and knowledge base to plan the mining process and propose ranked workflows for a given application problem. Extensive e-lab monitoring facilities will automate the accumulation of experimental meta-data to support replication and comparison of data mining experiments. These meta-data will be used by a meta-miner, which will combine probabilistic reasoning with kernel-based learning from complex structures to incrementally improve the assistant's workflow recommendations. e-LICO will be showcased in a systems biology task: biomarker discovery and molecular pathway modelling for diseases affecting the kidney and urinary pathways.