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003			ES-MaUEC
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008			210827s2021 sz | s |||| 0|eng d
020			_a9783030859770
024	7		_a10.1007/978-3-030-85977-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ334 _b2021 EB
245	0	0	_aInformation and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : _b5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings _cedited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Pierre-Emmanuel Arduin
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (X, 185 páginas) _b16 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Business Information Processing _x1865-1356 _v425
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aKnowledge Systems and Decision Making -- Expertise, Knowledge and Decision: Lessons from the Covid-19 Crisis in France -- E-learning: Factors Affecting Students Online Learning During Covied-19 Quarantine in a Developing Country -- The Importance of Tacit Knowledge when Teaching Suddenly Online -- Decision Support System for Online Recruitment -- Cognitive Effort Reduction within Group Decision Making through Aggregation and Disaggregation of Individual Preferences -- Machine learning, Recommender Systems, and Knowledge Systems -- A Dynamic Convolutional Neural Network Approach for Legal Text Classification -- Trends of Evolutionary Machine Learning to Address Big Data Mining. -Analyzing Performances of Three Context-Aware Collaborator Recommendation Algorithms in Terms of Accuracy and time Efficiency. -Recommender System for Online Teaching. -Security, Artificial Intelligence, and Information Systems. -Artificial Intelligence & Cybersecurity: A Preliminary Study of Automated Pentesting with Offensive Artificial Intelligence -- Archived Processes Integration for Extension of the Reverse Engineering Approach -- QoS Aware Classification of Composite Web Services using Rough Approximation -- Towards a Semantic Model of the Context of Navigation.
520	3		_aThis book constitutes the thoroughly refereed proceedings of the 5th International Conference on Information and Knowledge Systems, ICIKS 2021, which was held online during June 22-23, 2021. The International Conference on Information and Knowledge Systems (ICIKS 2021) gathered both researchers and practitioners in the fields of Information Systems, Artificial Intelligence, Knowledge Management and Decision Support. ICIKS seeks to promote discussions on various organizational, technological, and socio-cultural aspects of research in the design and use of information and knowledge systems in organizations. The 10 full and 2 short papers presented in this volume were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: knowledge systems and decision making; machine learning, recommender systems, and knowledge systems; and security, artificial intelligence, and information systems.
988			_aSpringer_Computer_2021
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
650		7	_2embne _9163292 _aSistemas de ayuda a la decisión _vCongresos y asambleas
700	1		_aSaad, Inès _eeditor literario
700	1		_aRosenthal-Sabroux, Camille _eeditor literario
700	1		_aArduin, Pierre-Emmanuel _eeditor literario
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-85977-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eu _zSI