Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

Dicode

Financiado

Cerrado

Mastering Data Intensive Collaboration and Decision Making

The goal of the Dicode project is to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. To do so, it will exploit and build on the most prominent high-performance computing... ver más

31/08/2013

COMPUTER TECHNOLOG...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

INSTITOUTO TECHNOLOGIAS YPOLOGISTON KAI EKDOS... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2013-08-31 No tenemos la información de la convocatoria

0% 74% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

6 Participantes

COMPUTER TECHNOLOGY INSTITUT...

0.00€ | Lider

UPM

N.D. | Participante

Fraunhofer

N.D. | Participante

Proyectos interesantes

EVEREST

Data Science

Software

5M€ Cerrado

e-LICO

Data Science

Software

4M€ Cerrado

DESTINI

Data Science

Software

799K€ Cerrado

TIN2014-55894-C2-1-R

Data Science

Software

125K€ Cerrado

EQC2019-006526-P

Data Science

Software

204K€ Cerrado

EQC2018-005084-P

Data Science

Software

191K€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Líder del proyecto

INSTITOUTO TECHNOLOGIAS YPOLOGISTON KAI EKDOS... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The goal of the Dicode project is to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. To do so, it will exploit and build on the most prominent high-performance computing paradigms and large data processing technologies - such as cloud computing, MapReduce, Hadoop, Mahout, and column databases – to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources.Building on current advancements, the solution foreseen in the Dicode project will bring together the reasoning capabilities of both the machine and the humans. It can be viewed as an innovative workbench incorporating and orchestrating a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities. Services to be developed are: (i) scalable data mining services (including services for text mining and opinion mining), (ii) collaboration support services, and (iii) decision making support services.The achievement of the Dicode project's goal will be validated through three use cases addressing clearly established problems. These cases were chosen to test the transferability of Dicode solution in different collaboration and decision making settings, associated with diverse types of data and data sources, thus covering the full range of the foreseen solution's features and functionalities. They concern: (i) scientific collaboration supported by integrated large-scale knowledge discovery in clinico-genomic research, (ii) delivering pertinent information from heterogeneous data to communities of doctors and patients in medical treatment decision making, and (iii) capturing tractable, commercially valuable high-level information from unstructured Web 2.0 data for opinion mining.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores