000			04444nam a22004455c 4500
988			_aSpringer_Robotics_2019
999			_c115367 _d115367 _x1
001			115367
003			ES-MaUEC
005			20230110040231.0
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008			190703s2019 gw a o |||| 0|eng d
020			_a9783030159399
024	7		_a10.1007/978-3-030-15939-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .B45 _b2019 EB
245	0	0	_aInnovations in big data mining and embedded knowledge _cedited by Anna Esposito, Antonietta M. Esposito, Lakhmi C. Jain
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XIX, 276 páginas) _b62 ilustraciones, 40 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4394 _v159
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aDesigning a Recommender System for Touristic Activities in a Big Data as a Service Platform -- A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications -- Towards Addressing the Limitations of Educational Policy based on International Large-scale Assessment Data with Castoriadean Magmas -- What do Prospective Students Want? An Observational Study of Preferences About Subject of Study in Higher Education -- Speech Pause Patterns in Collaborative Dialogs.
520	3		_aThis book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies.
650		7	_2embne _9495511 _aDatos masivos
650		7	_2embne _aData mining _9162648
700	1		_aEsposito, Anna _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _918068
700	1		_aEsposito, Antonietta M _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _998351
700			_aJain, Lakhmi C. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _996931
776	0	8	_iPrinted edition: _z9783030159382
776	0	8	_iPrinted edition: _z9783030159405
776	0	8	_iPrinted edition: _z9783030159412
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-15939-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI