Description: Mastering Data-Intensive Collaboration and Decision Making Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Research and practical applications in the Dicode project Author(s): Nikos Karacapilidis Format: Hardback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319026114, 978-3319026114 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.
Price: 73.32 GBP
Location: Aldershot
End Time: 2024-11-23T09:19:17.000Z
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Book Title: Mastering Data-Intensive Collaboration and Decision Making
Number of Pages: 226 Pages
Language: English
Publication Name: Mastering Data-Intensive Collaboration and Decision Making: Research and practical applications in the Dicode project
Publisher: Springer International Publishing A&G
Publication Year: 2014
Subject: Engineering & Technology, Computer Science, Management
Item Height: 235 mm
Item Weight: 4794 g
Type: Textbook
Author: Nikos Karacapilidis
Subject Area: Data Analysis
Series: Studies in Big Data
Item Width: 155 mm
Format: Hardcover
