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008 150903s2012 gw | o |||| 0|eng d
020 _a9783834825896
_99783834825896
024 7 _a10.1007/9783834825896
_2doi
035 _avtls000363304
039 9 _a201509030636
_bVLOAD
_c201405070342
_dVLOAD
_y201402211143
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA76.9.D343
100 1 _aRunkler, Thomas A.
_eautor
_9348962
245 1 0 _aData Analytics :
_bModels and Algorithms for Intelligent Data Analysis /
_cby Thomas A. Runkler.
264 1 _aWiesbaden :
_bVieweg+Teubner Verlag :
_bImprint: Vieweg+Teubner Verlag,
_c2012.
300 _ax, 137 páginas 66 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
520 _aThis book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in numerous courses at the Technical University of Munich, in short courses at several other universities, and in tutorials at scientific conferences. Much of the content is based on the results of industrial research and development projects at Siemens. Content Data Analytics - Data and Relations - Data Preprocessing - Data Visualization - Correlation - Regression - Forecasting - Classification - Clustering Target Groups Students of data analytics for engineering, computer science and math  Practitioners working on data analytics projects The Author Thomas Runkler is doing research at Siemens Corporate Technology in Munich and teaching data analytics and machine learning at the Technical University of Munich.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783834825889
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-8348-2589-6
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c308901
_d308901