000			03923nam a22005655i 4500
001			978-3-319-02612-1
003			DE-He213
005			20200421112045.0
007			cr nn 008mamaa
008			140405s2014 gw | s |||| 0|eng d
020			_a9783319026121 _9978-3-319-02612-1
024	7		_a10.1007/978-3-319-02612-1 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aMastering Data-Intensive Collaboration and Decision Making _h[electronic resource] : _bResearch and practical applications in the Dicode project / _cedited by Nikos Karacapilidis.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aX, 226 p. 98 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Big Data, _x2197-6503 ; _v5
505	0		_aThe 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			_aThis 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.
650		0	_aEngineering.
650		0	_aOperations research.
650		0	_aDecision making.
650		0	_aComputers.
650		0	_aData mining.
650		0	_aComputational intelligence.
650		0	_aEngineering economics.
650		0	_aEngineering economy.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aOperation Research/Decision Theory.
650	2	4	_aInformation Systems and Communication Service.
650	2	4	_aEngineering Economics, Organization, Logistics, Marketing.
700	1		_aKaracapilidis, Nikos. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319026114
830		0	_aStudies in Big Data, _x2197-6503 ; _v5
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-02612-1
912			_aZDB-2-ENG
942			_cEBK
999			_c56873 _d56873