Mastering Data-Intensive Collaboration and Decision Making: Research and practic

Description: Mastering Data-Intensive Collaboration and Decision Making by Nikos Karacapilidis 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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." Author Biography 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. 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. Long Description 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." Feature Presents cutting-edge research on working with "big data" Includes reports from the practical application and validation of the EU Dicode projects services in real-world use cases Describes an innovative approach bringing together the reasoning capabilities of both the machine and humans Explains lessons learnt from developing data mining and collaboration & decision-making support services Details ISBN3319349961 Year 2016 ISBN-10 3319349961 ISBN-13 9783319349961 Format Paperback Language English Media Book DEWEY 005.7 Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Edited by Nikos Karacapilidis Illustrations 98 Illustrations, black and white; X, 226 p. 98 illus. Pages 226 Publication Date 2016-09-03 Subtitle Research and practical applications in the Dicode project Short Title Mastering Data-Intensive Collaboration and Decision Making Series Number 5 Author Nikos Karacapilidis Publisher Springer International Publishing AG Edition Description Softcover reprint of the original 1st ed. 2014 Series Studies in Big Data Alternative 9783319026114 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:143774997;

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