Mastering Data-Intensive Collaboration and Decision Making (Record no. 56873)

000 -LEADER
fixed length control field 03923nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-319-02612-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112045.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140405s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319026121
-- 978-3-319-02612-1
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Mastering Data-Intensive Collaboration and Decision Making
Sub Title Research and practical applications in the Dicode project /
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 226 p. 98 illus.
490 1# - SERIES STATEMENT
Series statement Studies in Big Data,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Karacapilidis, Nikos.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-02612-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
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-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Decision making.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computers.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering economics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering economy.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operation Research/Decision Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Systems and Communication Service.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Economics, Organization, Logistics, Marketing.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2197-6503 ;
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-- ZDB-2-ENG

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