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Big data concepts, theories, and applications / Shui Yu, Song Guo, editors.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cham Springer, 2016.Description: 1 online resource (viii, 437 pages) : illustrations (some color)ISBN:
  • 9783319277639
  • 3319277634
  • 3319277618
  • 9783319277615
Subject(s): Genre/Form: DDC classification:
  • 005.7 23 YU
Contents:
Big 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.
Summary: This 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 Read more...
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Holdings
Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Generalia Non-fiction 005.7 YU (Browse shelf(Opens below)) Available 37555

Academic

Big 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.

This 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 Read more...

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