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006			m o d
007			cr cnu---unuuu
008			161024s2017 sz a ob 101 0 eng d
020			_a3319478982 _q(electronic bk.)
020			_a9783319478982 _q(electronic bk.)
020			_z3319478974
020			_z9783319478975
035			_a(OCoLC)961117187 _z(OCoLC)962390607 _z(OCoLC)974651773 _z(OCoLC)981095209 _z(OCoLC)1005810660
040			_aN$T _cN$T _dN$T _dGW5XE _dOCLCO _dAZU _dIDEBK _dYDX _dOCLCF _dCOO _dUAB _dUPM _dIOG _dVT2 _dUWO _dOHI _dESU _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aQA76.9 .B45 _b2017 EB
110	2		_aInternational Neural Network Society. _bConference on Big Data _n(2nd : _d2016 : _cThessalonikē, Greece)
245	1	0	_aAdvances in big data : _bproceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece _cPlamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco, editors
264		1	_aCham _bSpringer _c[2017]
264		4	_c2017
300			_a1 recurso en línea _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aAdvances in intelligent systems and computing _x2194-5357 _v529
500			_aInternational conference proceedings
500			_aSpringerLink
504			_aIncluye referencias bibliográficas e índice
505	0		_aPredicting human behavior based on web search activity: Greek referendum of 2015 -- Compact Video Description and Representation for Automated Summarization of Human Activities -- Attribute Learning for Network Intrusion Detection -- A Fast Deep Convolutional Neural Network for face detection in Big Visual Data -- Learning Symbols by Neural Network -- Designing HMMs models in the age of Big Data -- Extended Formulations for Online Action Selection on Big Action Sets -- Multi-Task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports -- An infrastructure and approach for infering knowledge over Big Data in the Vehicle Insurance Industry -- Unified Retrieval Model of Big Data -- Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species.
520	3		_aThe book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23-25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.
588	0		_aOnline resource, title from PDF title page (EBSCO, viewed October 26, 2016).
988			_aEBOOK, EBSPRINGER_2017A
650		7	_9495511 _aDatos masivos _2embne _vCongresos y conferencias
700	1		_aAngelov, Plamen P., _eeditor literario
700	1		_aManolopoulos, Yannis, _d1957- _eeditor literario
700	1		_aRoy, Asim, _eeditor literario
700	1		_aVellasco, Marley Maria B. R., _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-47898-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI