000 03738nam a22005655i 4500
001 978-3-319-23742-8
003 DE-He213
005 20220801222051.0
007 cr nn 008mamaa
008 150921s2016 sz | s |||| 0|eng d
020 _a9783319237428
_9978-3-319-23742-8
024 7 _a10.1007/978-3-319-23742-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aIntelligent Agents in Data-intensive Computing
_h[electronic resource] /
_cedited by Joanna Kołodziej, Luís Correia, José Manuel Molina.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXVIII, 216 p. 61 illus., 29 illus. in color.
_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,
_x2197-6511 ;
_v14
505 0 _aBio-Inspired ICT for Big Data Management in Healthcare -- Control AspectsiIn Multiagent Systems -- A Different Perspective of Agent-Based Techniques: Markovian Agents -- Autonomous, Adaptive, And Self-Organized Multiagent Systems for the Optimization of Decentralized Industrial Processes -- Formal Specification Language and Agent Applications -- Large-Scale Simulations with FLAME -- Cloud Computing and Multiagent Systems, A Promising Relationship -- Privacy Risks in Cloud Computing -- Adaptive Resource Allocation in Cloud Computing Based on Agreement Protocols.
520 _aThis book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi-agent systems, and important formulations of data intensive problems in distributed computational environments together with the presentation of new agent-based tools to handle those problems and Big Data in general. This volume can serve as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary work in the areas of data intensive computing and Big Data systems using emergent large-scale distributed computing paradigms. It will also allow newcomers to grasp key concepts and potential solutions on advanced topics of theory, models, technologies, system architectures and implementation of applications in Multi-Agent systems and data intensive computing. .
650 0 _aComputational intelligence.
_97716
650 0 _aData mining.
_93907
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aData Mining and Knowledge Discovery.
_959518
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aKołodziej, Joanna.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959519
700 1 _aCorreia, Luís.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959520
700 1 _aManuel Molina, José.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959521
710 2 _aSpringerLink (Online service)
_959522
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319237411
776 0 8 _iPrinted edition:
_z9783319237435
776 0 8 _iPrinted edition:
_z9783319365206
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v14
_959523
856 4 0 _uhttps://doi.org/10.1007/978-3-319-23742-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80362
_d80362