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

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ISBN 10: 3319026119 / ISBN 13: 9783319026114

Published by Palgrave Macmillan, 2014

About this Item

Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.

Seller Inventory # 24676175/1

Bibliographic Details

• Title: Mastering Data-Intensive Collaboration and Decision Making : Research and practical applications in the Dicode project
• Publisher: Palgrave Macmillan
• Publication Date: 2014
• Language: English
• ISBN 10: 3319026119
• ISBN 13: 9783319026114
• Binding: Hardcover
• Condition: Hervorragend
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.