Titlebook: Mastering Data-Intensive Collaboration and Decision Making; Research and practic Nikos Karacapilidis Book 2014 Springer International Publi

Blood-Vessels

北京人起源

The Dicode Collaboration and Decision Making Support Services, signal-to-noise ratio for addressing the problem at hand. Towards addressing such concerns, we have developed a series of innovative collaboration and decision making services in the context of the Dicode project. The adopted approach facilitates and augments sense-making and decision making by incrementally formalizing the collaboration context.

絆住

macular-edema

時(shí)間等

Collaboration and Decision Making in Data-Intensive and Cognitively-Complex Settings: Lessons Learns of the use of the developed services by end-users through the associated log files, provided valuable feedback for the formulation and compilation of these lessons. By sharing insights gained in the context of the Dicode project, this chapter aims to help people engaged in developing similar services.

Mitigate

The Dicode Project,pening of our insights about the proper exploitation of big data, as well as to collaboration and sense making support issues. This chapter reports on the overall context of the project, its scientific and technical objectives, the exploitation of its results and its potential impact.

Collar

Integrating Dicode Services: The Dicode Workbench,-of-use issues, aiming to enable users without any particular programming expertise to use the system. We present two major outcomes of the Dicode project regarding integration issues: the Dicode Workbench and the Dicode Integration Framework.

forestry

Clinico-Genomic Research Assimilator: A Dicode Use Case,ion enables a meaningful aggregation and analysis of large-scale data in complex biomedical research settings. Moreover, it allows for new working practices that turn the problem of information overload and cognitive complexity into the benefit of knowledge discovery.

致敬

The Dicode Project,, whenever appropriate, it built on prominent high-performance computing paradigms and proper data processing technologies to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources. At the same time, particular emphasis was given to the dee

Incumbent