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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Karacapilidis, Nikos (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Studies in Big Data, 5
• Subjects: Engineering.; Operations research.; Decision making.; Computers.; Data mining.; Computational intelligence.; Engineering economics.; Engineering economy.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Operation Research/Decision Theory.; Information Systems and Communication Service.; Engineering Economics, Organization, Logistics, Marketing.

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...

Table of Contents:

• 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.