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050		4	_aQA76.9.B45 _bB543 2016
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245	1	0	_aBig Data Concepts, Theories, and Applications _cedited by Shui Yu, Song Guo
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (VIII, 437 páginas) _b97 ilustraciones, 17 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aBig Continuous Data: Dealing with Velocity by Composing Event Streams -- Big Data Tools and Platforms -- Traffic Identification in Big Internet Data -- Security Theories and Practices for Big Data -- Rapid Screening of Big Data against Inadvertent Leaks -- Big Data Storage Security -- Cyber Attacks on MapReduce Computation Time in a Hadoop Cluster -- Security and Privacy for Big Data -- Big Data Applications in Engineering and Sciences -- Geospatial Big Data for Environmental and Agricultural Applications -- Big Data in Finance -- Big Data Applications in Business Analytics.
520	3		_aThis book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable. .
650		7	_aSeguridad informática _0comprobar BNE20010505695 _2embne _9158200
650		7	_aRedes informáticas _0(OCoLC)872297 _2embne _0comprobar BNE19900997487 _9141354
700	1		_aYu, Shui _eeditor literario _0Local _998282
700	1		_aGuo, Song _eeditor literario _0Local _998283
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-27763-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319277639
907			_a.b12946473 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aQA76.9.B45 B543 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11590245 _z06-04-17
988			_aEBOOK, asignarmaterias , EBSPRINGER
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