Mastering Data-Intensive Collaboration and Decision Making
Research and practical applications in the Dicode project
Editors: Karacapilidis, Nikos (Ed.)
Free Preview- Presents cutting-edge research on working with "big data"
- Includes reports from the practical application and validation of the EU Dicode project's 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
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- About this book
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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 authors
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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 (11 chapters)
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The Dicode Project
Pages 1-15
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Data Intensiveness and Cognitive Complexity in Contemporary Collaboration and Decision Making Settings
Pages 17-48
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Requirements for Big Data Analytics Supporting Decision Making: A Sensemaking Perspective
Pages 49-70
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Making Sense of Linked Data: A Semantic Exploration Approach
Pages 71-87
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The Dicode Data Mining Services
Pages 89-118
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Table of contents (11 chapters)
- Download Preface 1 PDF (71.1 KB)
- Download Table of contents PDF (61.8 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Mastering Data-Intensive Collaboration and Decision Making
- Book Subtitle
- Research and practical applications in the Dicode project
- Editors
-
- Nikos Karacapilidis
- Series Title
- Studies in Big Data
- Series Volume
- 5
- Copyright
- 2014
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-02612-1
- DOI
- 10.1007/978-3-319-02612-1
- Hardcover ISBN
- 978-3-319-02611-4
- Softcover ISBN
- 978-3-319-34996-1
- Series ISSN
- 2197-6503
- Edition Number
- 1
- Number of Pages
- X, 226
- Number of Illustrations
- 98 b/w illustrations
- Topics
