000			02819nam a22003495i 4500
001			102498
003			DE-He213
005			20230102113044.0
007			cr nn 008mamaa
008			170820s2018 gw | s |||| 0|eng d
020			_a9783319613499
024	7		_a10.1007/978-3-319-61349-9 _2doi
040			_aES-MaUEC _bspa
050		4	_aQA76.9.D5 _bL476 2018 EB
100	1		_aLerma, L. Octavio _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aTowards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data _cby L. Octavio Lerma, Vladik Kreinovich.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VIII, 141 páginas)
347			_atext file _bPDF
490	0		_aStudies in Big Data _x2197-6503 _v29
505	0		_aIntroduction --  Data Acquisition: Towards Optimal Use of Sensors -- Data and Knowledge Processing --  Knowledge Propagation and Resulting Knowledge Enhancement -- Knowledge Use -- Conclusions.
520	3		_aThis book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data. Further, it presents easy-to-use analytical models of knowledge-related processes and their applications. The need for such methods stems from the fact that, when we have to decide where to place sensors, or which algorithm to use for processing the data-we mostly rely on experts' opinions. As a result, the selected knowledge-related methods are often far from ideal. To make better selections, it is necessary to first create easy-to-use models of knowledge-related processes. This is especially important for big data, where traditional numerical methods are unsuitable. The book offers a valuable guide for everyone interested in big data applications: students looking for an overview of related analytical techniques, practitioners interested in applying optimization techniques, and researchers seeking to improve and expand on these techniques.
650		7	_aProceso distribuido (Informática) _2embne _9156434
700	1		_aKreinovich, Vladik _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n95102697 _1http://viaf.org/viaf/37212054/ _998177
776	0	8	_iEdición impresa: _z9783319613482
776	0	8	_iEdición impresa: _z9783319613505
776	0	8	_iEdición impresa: _z9783319870588
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-61349-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b01/2019 _dz _ef _feng _ggw _h0
999			_c102498 _d102498 _x1