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001			104016
003			DE-He213
005			20230102113155.0
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008			150102s2015 gw | s |||| 0|eng d
020			_a9783319110561
024	7		_a10.1007/978-3-319-11056-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050		4	_aQA76.9.D32 2015 EB
245	1	0	_aBig Data in Complex Systems _bChallenges and Opportunities _cedited by Aboul Ella Hassanien, Ahmad Taher Azar, Vaclav Snasael, Janusz Kacprzyk, Jemal H. Abawajy.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (VIII, 499 páginas 127 ilustraciones, 10 ilustraciones a color.)
490	0		_aStudies in Big Data _x2197-6503 ; _v9
505	0		_aCloud Computing Infrastructure for Massive Data: A Gigantic Task Ahead -- Big Data Movement: a Challenge in Data Processing -- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data -- Stream Clustering Algorithms: A Primer -- Cross Language Duplicate Record Detection in Big Data -- A Novel Hybridized Rough Set And Improved Harmony Search Based Feature Selection For Protein Sequence Classification -- Autonomic Discovery of News Evolvement in Twitter -- Hybrid Tolerance Rough Set based Intelligent Approaches for Social Tagging Systems -- Exploitation Of Healthcare Databases In Anesthesiology And Surgical Care For Comparing Comorbidity Indexes In Cholecystectomized Patients -- Sickness Absence And Record Linkage Using Primary Healthcare, Hospital And Occupational Databases -- Classification of ECG Cardiac Arrhythmias using Bijective Soft Set -- Semantic Geographic Space: from Big Data to Ecosystems of Data -- DNA Methylation Data Analysis and Visualizing in a Common Form of Breast Cancer -- Data Quality, Analytics, and Privacy in Big Data -- Search, analysis and visual comparison of massive and heterogeneous data: Application in the medical field -- Modified Soft Rough set based ECG signal Classification for Cardiac arrhythmias -- Towards a new architecture for the description and manipulation of large distributed data.
520	3		_aThis volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other  foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate  students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.
650		7	_aBases de datos _2embne _9138966
650		7	_aDatos masivos _9495511 _2embne
700	1		_aHassanien, Aboul-Ella _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n2007028183 _1http://viaf.org/viaf/53599237/ _997150
700	1		_aAzar, Ahmad Taher _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2012025154 _1http://viaf.org/viaf/265174282/ _998856
700	1		_aSnasael, Vaclav. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKacprzyk, Janusz _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n85191529 _1http://viaf.org/viaf/101730959/ _996945
700	1		_aAbawajy, Jemal H. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/220677771/
776	0	8	_iEdición impresa: _z9783319110578
776	0	8	_iEdición impresa: _z9783319110554
776	0	8	_iEdición impresa: _z9783319352909
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-11056-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b06/2019 _dz _ek _feng _ggw _h0
999			_c104016 _d104016 _x1