000754125 000__ 03537cam\a2200433Ii\4500
000754125 001__ 754125
000754125 005__ 20230306141651.0
000754125 006__ m\\\\\o\\d\\\\\\\\
000754125 007__ cr\cn\nnnunnun
000754125 008__ 160309s2016\\\\sz\a\\\\o\\\\\000\0\eng\d
000754125 019__ $$a944186068
000754125 020__ $$a9783319277639$$q(electronic book)
000754125 020__ $$a3319277634$$q(electronic book)
000754125 020__ $$z9783319277615
000754125 0247_ $$a10.1007/978-3-319-27763-9$$2doi
000754125 035__ $$aSP(OCoLC)ocn944182196
000754125 035__ $$aSP(OCoLC)944182196$$z(OCoLC)944186068
000754125 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDXCP$$dIDEBK$$dN$T$$dEBLCP$$dAZU$$dOCLCF$$dCDX$$dCQ$$$dCOO
000754125 049__ $$aISEA
000754125 050_4 $$aQA76.9.B45
000754125 08204 $$a005.7$$223
000754125 24500 $$aBig data concepts, theories, and applications$$h[electronic resource] /$$cShui Yu, Song Guo, editors.
000754125 264_1 $$aCham :$$bSpringer,$$c2016.
000754125 300__ $$a1 online resource (viii, 437 pages) :$$billustrations.
000754125 336__ $$atext$$btxt$$2rdacontent
000754125 337__ $$acomputer$$bc$$2rdamedia
000754125 338__ $$aonline resource$$bcr$$2rdacarrier
000754125 5050_ $$aBig Continuous Data: Dealing with Velocity by Composing Event Streams -- Big Data Tools and Platforms -- Traffic Identification in Big Internet Data -- Security Theories and Practices for Big Data -- Rapid Screening of Big Data against Inadvertent Leaks -- Big Data Storage Security -- Cyber Attacks on MapReduce Computation Time in a Hadoop Cluster -- Security and Privacy for Big Data -- Big Data Applications in Engineering and Sciences -- Geospatial Big Data for Environmental and Agricultural Applications -- Big Data in Finance -- Big Data Applications in Business Analytics.
000754125 506__ $$aAccess limited to authorized users.
000754125 520__ $$aThis book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable. .
000754125 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 9, 2016).
000754125 650_0 $$aBig data.
000754125 7001_ $$aYu, Shui$$c(Computer scientist),$$eeditor.
000754125 7001_ $$aGuo, Song$$c(Computer scientist),$$eeditor.
000754125 77608 $$iPrint version:$$z9783319277615
000754125 852__ $$bebk
000754125 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-27763-9$$zOnline Access$$91397441.1
000754125 909CO $$ooai:library.usi.edu:754125$$pGLOBAL_SET
000754125 980__ $$aEBOOK
000754125 980__ $$aBIB
000754125 982__ $$aEbook
000754125 983__ $$aOnline
000754125 994__ $$a92$$bISE