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007			cr nn 008mamaa
008			210930s2022 si | s |||| 0|eng d
020			_a9789811657924
024	7		_a10.1007/978-981-16-5792-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.5 _b2022 EB
245	0	0	_aCommunication and Smart Technologies : _bProceedings of ICOMTA 2021 _cedited by Álvaro Rocha, Daniel Barredo, Paulo Carlos López-López, Iván Puentes-Rivera
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVIII, 585 páginas) _b84 ilustraciones, 55 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSmart Innovation Systems and Technologies _x2190-3026 _v259
505	0		_a1. Absences predictive model of for the outpatient unit in a public hospital -- 2. Automatic Data Warehouse Generation Model from BI requirements in Natural Language -- 3. Automation of an Educational Data Mining Model applying Interpretable Machine Learning and Auto Machine Learning -- 4. Examining the tech stacks of Czech and Slovak untrustworthy websites -- 5. A prospective model of a digital epidemiological surveillance 4.0 based on the Peruvian public health system.
520			_aThis book features selected papers from the International Conference on Communication and Applied Technologies (ICOMTA 2021), jointly organized by Universidad del Rosario (Bogotá, Colombia); the University of Vigo (Galicia, Spain); the University of Santiago de Compostela-Equipo de Investigaciones Políticas (Galicia, Spain); the University of A Coruña (Galicia, Spain); and the Information and Technology Management Association (ITMA), during September 2021. It covers recent advances in the field of digital communication and processes digital social media, software, big data, data mining, and intelligent systems.
988			_aSpringer_Robotics_2022
650		7	_2embne _9141354 _aRedes informáticas _vCongresos y asambleas
776	0	8	_iPrinted edition: _z9789811657917
776	0	8	_iPrinted edition: _z9789811657931
776	0	8	_iPrinted edition: _z9789811657948
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5792-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eu _zSI