Electronic Resource

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000455	EB0001192	006.312 Mas	Central Library (OPAC)	Available

Detail Information

Series Title

Studies in Big Data

Call Number

006.312 Mas

Publisher

Switzerland : Springer Cham., 2014

Collation

x, 226p.: Ill.

Language

English

ISBN/ISSN

978-3-319-02612-1

Classification

006.312

Content Type

-

Media Type

-

Carrier Type

-

Edition

1

Subject(s)

Teams in the workplace--Data processing

Specific Detail Info

-

Statement of Responsibility

RIZAL

Other version/related

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