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Mastering Data-Intensive Collaboration and Decision Making: Research and practical applications in the Dicode project: 5 (Studies in Big Data, 5) - Tapa dura

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9783319026114: Mastering Data-Intensive Collaboration and Decision Making: Research and practical applications in the Dicode project: 5 (Studies in Big Data, 5)
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ISBN 10: 3319026119 ISBN 13: 9783319026114
Editorial: Springer, 2014

Sinopsis

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. The Dicode approach and services are fully explained and particular emphasis is placed on deepening insights regarding the exploitation of big data, as well as on collaboration and issues relating to sense-making support. Building on current advances, the solution developed in the Dicode project brings together the reasoning capabilities of both the machine and 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 effective in their work practices.

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Acerca del autor

Nikos Karacapilidis is full professor of Industrial Management and Information Systems at University of Patras, Greece. His current research interests are on the areas of e-Collaboration, Technology-Enhanced Learning, Knowledge Management Systems, Group Decision Support Systems, Computer-Supported Argumentation and Enterprise Information Systems.

De la contraportada

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. The Dicode approach and services are fully explained, and particular emphasis is placed on deepening insights regarding the exploitation of big data, as well as on collaboration and issues relating to sense-making support. Building on current advances, the solution developed in the Dicode project brings together the reasoning capabilities of both the machine and 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 effective in their work practices.

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Editorial
Springer
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3319026119
ISBN 13 
9783319026114
Encuadernación
Tapa dura
Número de páginas
238
Editor
Karacapilidis Nikos
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

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