000			03922nam a22005530i 4500
999			_c5464 _d5464
001			00005464
003			LU-LuOPE
005			20250123012003.0
008			190226s2019 eu da fst i100 0 eng d
020			_a978-92-76-00034-1
022			_a1831-9424
024			_a10.2760/848593 _2doi
040			_aLU-LuOPE _cES-MaONT
245	0	0	_aProceedings of the 2019 conference on Big Data from Space (BIDS' 2019) _b: turning data into insights : 19-21 February 2019, Munich (Germany) _c/ edited by P. Soille, S. Loekken and S. Albani
250			_a4th edition
260			_aLuxemburgo : _bOficina de Publicaciones, _c2019.
300			_axii, 312 p. : _bil. col.; _c1 documento PDF
336			_2isbdcontent _atexto (visual)
337			_2isbdmedia _aelectrónico
338			_2rdacarrier _arecurso en línea
504			_aIncludes bibliographical references.
520			_aThis 4th edition of the Big Data from Space conference is directed towards 'Turning Data into Insights'. Indeed, while the first editions of the conference concentrated on technologies and platforms capable of sustaining the sharp increase of data streams originating from space sensors, the development of efficient and effective methodologies and algorithms capable of extracting insights from these data is gradually becoming the main challenge. In this context, artificial intelligence and machine learning techniques have started to play a key role as illustrated by numerous papers of this conference edition. Methodological developments are motivated by the pressing need to extract information on large areas and/or over long time series to better understand the dynamics of the processes that are shaping our planet and indeed our universe in the case of data collected by telescopes. The topic of analysis ready data has also emerged since the last edition and is closely linked with the development of new data cube representations. Big data from space is also introducing some new legal challenges and the need for further developments of standards and interoperable interfaces between the growing number of platforms hosting multi-petabyte scale data co-located with processing capabilities. All these topics as well as other generic key aspects of big data are mirrored in dedicated sections of these proceedings.
540			_aReutilización autorizada, con indicación de la fuente bibliográfica. La política relativa a la reutilización de los documentos de la Comisión Europea fue establecida por la Decisión 2011/833/UE (DO L 330 de 14.12.2011, p. 39). Cualquier uso o reproducción de fotografías u otro material que no esté sujeto a los derechos de autor de la Unión Europea requerirá la autorización de sus titulares ; _bUnión Europea.
650		0	_aTecnologías habilitadoras digitales _918
653		7	_atratamiento de datos
653		7	_arecogida de datos
653		7	_ainformática documental
653		7	_atratamiento de la información
653		7	_atecnología de la información
653		7	_ainformatización
653		7	_abúsqueda documental
653		7	_asistema informático
653		7	_ainvestigación espacial
653		7	_acartografía
653		7	_asistema de gestión de bases de datos
653		7	_abase de datos
653		7	_aSistema de Información Geográfica
653		7	_aAgencia Espacial Europea
653		7	_aCentro de Satélites de la Unión Europea
700	1		_aSoille, Pierre _93691
700	1		_aLoekken, Sveinung _93692
700	1		_aAlbani, Sergio _93693
710	1		_aComisión Europea. _bCentro Común de Investigación _92681
710	2		_aSatCen _93678
710	2		_aEsa, European Space Agency _93679
711	2		_aBig Data from Space (BIDS' 2019) _d(2019 : _cMunich, Germany). _tProceedings _93680
856	4	2	_uhttp://publications.jrc.ec.europa.eu/repository/bitstream/JRC115761/procbids19.pdf _x0 _yAcceso al documento _qpdf
942			_cINF _2z