Mastering Data-Intensive Collaboration and Decision Making - Research and practical applications in the Dicode project (Hardcover, 2014 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 5
Release date:	April 2014
First published:	2014
Editors:	Nikos Karacapilidis
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover
Pages:	226
Edition:	2014 ed.
ISBN-13:	978-3-319-02611-4
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-02611-9
Barcode:	9783319026114

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