000			03591nam a22003975i 4500
001			394810
003			ES-MaUEC
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007			cr nn 008mamaa
008			220726s2022 si | s |||| 0|eng d
020			_a9789811934445
024	7		_a10.1007/978-981-19-3444-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aIntelligent Decision Technologies _bProceedings of the 14th KES-IDT 2022 Conference _cedited by Ireneusz Czarnowski, Robert J Howlett, Lakhmi C Jain
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XX, 599 páginas) _b238 ilustraciones, 181 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 _v309
505	0		_aLatent Chained Comments to Retweet Extraction on Twitter -- Recommendation versus Regression Neural Collaborative Filtering -- Heuristic Approach to Improve the Efficiency of Maximum Weight Matching Algorithm Using Clustering -- Digital Cultural Heritage Twins: New Tools for a Complete Fruition of the Cultural Heritage Entities -- Arabic Speech Processing: State of the Art and Future Outlook -- Inter-rater Agreement Based Risk Assessment Scheme for ICT Corporates -- Sequence Classification via LCS -- Assured Multi-Agent Reinforcement Learning with Robust Agent-Interaction Adaptability -- Development of a Telegram Bot to Determine the Level of Technological Readiness -- Design of Multiprocessor Architecture for Watermarking and Tracing Images Using QR Code.
520			_aThis book gathers selected papers from the KES-IDT 2022 Conference, held in Rhodes, Greece on June 20-22, 2022. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed are classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in diverse areas such as finance, cybersecurity, economics, health, management, and transportation. The problems in Industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis-theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues, and decision-making theory for economics.
700	1		_aCzarnowski, Ireneusz _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHowlett, Robert J _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aJain, Lakhmi C _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811934438
776	0	8	_iPrinted edition: _z9789811934452
776	0	8	_iPrinted edition: _z9789811934469
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-3444-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c394810 _d394810