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020			_a9789811694479
024	7		_a10.1007/978-981-16-9447-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2022 EB
245	0	0	_aComputational Intelligence in Data Mining : _bProceedings of ICCIDM 2021 _cedited by Janmenjoy Nayak, H.S. Behera, Bighnaraj Naik, S. Vimal, Danilo Pelusi
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXVI, 764 páginas) _b345 ilustraciones, 269 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSmart Innovation Systems and Technologies _x2190-3026 _v281
505	0		_aMulti-sensor data fusion for Occupancy detection using Dempster-Shafer Theory -- Sentiment Analysis: A Recent Survey with Applications and a Proposed Ensemble Algorithm -- An Automated System for Facial Mask Detection and Social Distancing During Covid - 19 Pandemic -- Detection of Insider Threats Using Deep Learning: A Review -- An Incisive analysis of Advanced Persistent Threat detection using Machine learning Techniques -- Intelligent Computing Systems For Diagnosing Plant Diseases -- Multimodal MRI Analysis for Segmentation of Intra-tumoral Regions of High-Grade Glioma using VNet and WNet based deep models -- Early Onset Alzheimer Disease Classification using Convolution Neural Network.
520			_aThis book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11-12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
988			_aSpringer_Robotics_2022
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _9162648 _aData mining
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aNayak, Janmenjoy _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBehera, H. S. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aNaik, Bighnaraj _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVimal, S. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPelusi, Danilo _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811694462
776	0	8	_iPrinted edition: _z9789811694486
776	0	8	_iPrinted edition: _z9789811694493
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-9447-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _esc _zSI