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020			_a9789811629341
024	7		_a10.1007/978-981-16-2934-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.D3 _b2021 EB
245	1	0	_aData Management, Analytics and Innovation : _bProceedings of ICDMAI 2021, Volume 1 _cedited by Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Alfred M. Bruckstein.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XII, 460 páginas) _b245 ilustraciones, 199 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes on Data Engineering and Communications Technologies _x2367-4520 _v70
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aVerification, Validation and Evaluation of Medicinal Prescription System -- Creation of Knowledge Graph for Client complaint Management System -- Automation of Bid Proposal Preparation through AI Smart Assistant -- A Review on Application of Machine Learning and Deep Learning Algorithms in Head and Neck Cancer Prediction and Prognosis -- Multi-Index Validation Mechanisms for the Land Cover Classification of Multispectral Images: A Case-Study of Kabini Reservoir -- Optimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization -- Performance Evaluation of Classification Models for HIV/AIDS Dataset -- Impact of clustering algorithms in catastrophe management: a task-technology appropriate perspective -- Real-Time Soybean Crop Insect Classification using Customized Deep Learning Models -- Writer-independent Offline Signature Verification using Deep Siamese Neural Network.
520	3		_aThis book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15-17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
988			_aSpringer_Robotics_2021
650		7	_2embne _9495511 _aDatos masivos
700			_aSharma, Neha. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9101970
700	1		_aChakrabarti, Amlan _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9101969
700	1		_aBalas, Valentina Emilia _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _996925
700	1		_aBruckstein, Alfred M. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682182
776	0	8	_iPrinted edition: _z9789811629334
776	0	8	_iPrinted edition: _z9789811629358
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-2934-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE