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001 978-3-319-27763-9
003 DE-He213
005 20200421111851.0
007 cr nn 008mamaa
008 160303s2016 gw | s |||| 0|eng d
020 _a9783319277639
_9978-3-319-27763-9
024 7 _a10.1007/978-3-319-27763-9
_2doi
050 4 _aQA75.5-76.95
072 7 _aUT
_2bicssc
072 7 _aCOM069000
_2bisacsh
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
245 1 0 _aBig Data Concepts, Theories, and Applications
_h[electronic resource] /
_cedited by Shui Yu, Song Guo.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aVIII, 437 p. 97 illus., 17 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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 _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 0 _aComputer science.
650 0 _aComputer communication systems.
650 0 _aComputer security.
650 0 _aComputers.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aSystems and Data Security.
650 2 4 _aComputer Communication Networks.
700 1 _aYu, Shui.
_eeditor.
700 1 _aGuo, Song.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319277615
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-27763-9
912 _aZDB-2-SCS
942 _cEBK
999 _c56091
_d56091