000			04254nam a22004575i 4500
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008			181027s2018 gw | s |||| 0|eng d
020			_a9783319996264
024	7		_a10.1007/978-3-319-99626-4 _2doi
040			_bspa _dES-MaUEC
050		4	_aQA76.9.D5 2018 EB
245	0	0	_aIntelligent Distributed Computing XII _cedited by Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Javier J. Sanchez-Medina, Massimo Vecchio, Xin-She Yang.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2018.
300			_a1 recurso en línea (XV, 448 páginas 108 ilustraciones)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aStudies in Computational Intelligence _x1860-949X _v798
490	0		_aEngineering (Springer-11647)
505	0		_aPart I: Main Track -- Long distance in-links for ranking enhancement -- Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency -- Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures -- Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources -- About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework -- Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform -- Finding Best Compiler Options for Critical Software Using Parallel Algorithms -- Drift Detection over Non-stationary Data Streams using Evolving Spiking Neural Networks -- Part II: Energy -- A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms -- Bio-inspired approximation to MPPT under real irradiation conditions -- Part III: Industry -- Decision Making in Industry 4.0 Scenarios supported by Imbalanced Data Classification.
520			_aThis book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018.
650		7	_aProceso distribuido (Informática) _2embne _9156434
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aDel Ser, Javier _eaeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aOsaba, Eneko _eaeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBilbao, Miren Nekane _eaeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSanchez-Medina, Javier J _eaeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVecchio, Massimo _eaeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/96510941
700	1		_aYang, Xin-She _eaeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2006017401 _1http://viaf.org/viaf/263433521 _997941
776	0	8	_iPrinted edition: _z9783319996257
776	0	8	_iPrinted edition: _z9783319996271
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-99626-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2019 _dz _ea _feng _ggw _h0