Mastering Data-Intensive Collaboration and Decision Making Research and practical applications in the Dicode project /

This book reports on cutting-edge research carried out within the context of the EU-funded Dicode project, which aims at facilitating and augmenting collaboration and decision making in data-intensive and cognitively complex settings. Whenever appropriate, Dicode builds on prominent high-performance...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Karacapilidis, Nikos (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Studies in Big Data, 5
Temas:
Computational intelligence.
Data mining.
Operations research.
Computer networks .
Industrial Management.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Operations Research and Decision Theory.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • The Dicode project
  • Data intensiveness and cognitive complexity in contemporary collaboration and decision making settings
  • Requirements for Big Data Analytics Supporting Decision Making: A Sensemaking Perspective
  • Making Sense of Linked Data: A Semantic Exploration Approach
  • The Dicode Data Mining Services
  • The Dicode Collaboration and Decision Making Support Services
  • Integrating Dicode Services: The Dicode Workbench
  • Clinico-Genomic Research Assimilator: A Dicode Use Case
  • Opinion Mining from Unstructured Web 2.0 Data: A Dicode Use Case
  • Data Mining in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode Project
  • Collaboration and Decision Making in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode project.

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