Big Data Concepts, Theories, and Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Yu, Shui (Editor), Guo, Song (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Edition: 1st ed. 2016.
• Subjects: Computer science.; Computer communication systems.; Computer security.; Computers.; Computer Science.; Information Systems and Communication Service.; Systems and Data Security.; Computer Communication Networks.

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...

Table of 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.