Scientific literature/Ғылыми әдебиет/Научная литература
Summary
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 computing paradigms and large data processing technologies to meaningfully search, analyze, and aggregate data from diverse, extremely large, and rapidly evolving sources
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