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020			_a9783030725884
024	7		_a10.1007/978-3-030-72588-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ335 _b2021 EB
245	1	0	_aIntelligent Systems in Big Data, Semantic Web and Machine Learning _cedited by Noreddine Gherabi, Janusz Kacprzyk.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XIV, 315 páginas) _b210 ilustraciones, 120 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5365 _v1344
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aExperimental evaluation of proposed algorithm for identifying abnormal messages in SIP Network -- Smart tourism recommender system using semantic matching -- Data-Driven information filtering framework for dynamically hybrid job recommendation -- Semantic image analysis for automatic image annotation -- New method for data replication and reconstruction in distributed databases -- A distributed intrusion detection approach based on machine learning technique for a cloud security -- Cb2Onto: OWL ontology learning approach from couchbase -- Data profling over big data area - A Survey of big data profiling: state-of-the-Art, use cases and challenges -- Generalization of the fuzzy conformable differentiability with application to fuzzy fractional differential equations.
520	3		_aThis book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.
988			_aSpringer_Robotics_2021
650		7	_2embne _9163805 _aWeb semántica
650		7	_2embne _9495511 _aDatos masivos
700			_aGherabi, Noreddine _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682365
700	1		_aKacprzyk, Janusz _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _996945
776	0	8	_iPrinted edition: _z9783030725877
776	0	8	_iPrinted edition: _z9783030725891
776	0	8	_iPrinted edition: _z9783030725907
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72588-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE