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020 _a9783642248009
_99783642248009
024 7 _a10.1007/9783642248009
_2doi
035 _avtls000358117
039 9 _a201509030546
_bVLOAD
_c201405070226
_dVLOAD
_y201402191514
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.9.D3
100 1 _aGama, João.
_eeditor.
_9329238
245 1 0 _aAdvances in Intelligent Data Analysis X :
_b10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings /
_cedited by João Gama, Elizabeth Bradley, Jaakko Hollmén.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _axiv, 425 páginas 144 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7014
500 _aSpringer eBooks
520 _aThis book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aBradley, Elizabeth.
_eeditor.
_9342976
700 1 _aHollmén, Jaakko.
_eeditor.
_9342817
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642247996
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-24800-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c304191
_d304191