000			03832nam a22003735i 4500
001			102097
003			DE-He213
005			20230102113024.0
007			cr nn 008mamaa
008			170822s2018 gw | s |||| 0|eng d
020			_a9783319602554
024	7		_a10.1007/978-3-319-60255-4 _2doi
040			_aES-MaUEC _bspa
050		4	_aQA76.9.B45 _bH544 2018 EB
245	1	0	_aHighlighting the Importance of Big Data Management and Analysis for Various Applications _cedited by Mohammad Moshirpour, Behrouz Far, Reda Alhajj.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VI, 168 páginas 29 ilustraciones, 11 ilustraciones a color)
347			_atext file _bPDF
490	0		_aStudies in Big Data _x2197-6503 _v27
505	0		_aChapter 1. Big data analytics of social network data: Who cares most about you on Facebook? -- Chapter 2. Characterizing and Predicting Yelp Users' Behavior Composite Visualization Features in -- Chapter 3. PEVNET: A Framework for Visualization of Criminal Networks -- Chapter 4. Effective Customer Relationship Managment at ATB Financial A Case Study on Industry-Academia Collaboration in Data Analytics -- Chapter 5. Effective Personnel Selection and Team Building using Intelligent Data Analytics -- Chapter 6. Extracting Relevant Information from Big Data to Anticipate Forced Migration -- Chapter 7. Implicit Social Networks for Social Recommendation of Scholarly Papers -- Chapter 8. The Effect of Corpora Size on Performance of Named Entity Recognition -- Chapter 9. Time Series Analysis for the most Frequently Mentioned Biomarkers in Breast Cancer Articles -- Chapter 10. Transportation Engineering on Social Question and Answer Websites: An Empirical Case Study -- Chapter 11. Understanding Health Service Delivery Using Spatio-Temporal Patient Mobility Data -- Chapter 12. WaterVis: GeoVisual Analytics for Exploring Hydrological Data.
520	3		_aThis book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field. .
650		7	_aDatos masivos _9495511 _2embne
650		7	_aSistemas de gestión de bases de datos _2embne _9150569
700	1		_aMoshirpour, Mohammad. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFar, Behrouz. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/9148704258036932507/
700	1		_aAlhajj, Reda. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2007018550 _1http://viaf.org/viaf/47952869/
776	0	8	_iEdición impresa: _z9783319602547
776	0	8	_iEdición impresa: _z9783319602561
776	0	8	_iEdición impresa: _z9783319868189
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-60255-4 _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			_c102097 _d102097 _x1