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Non-fiction literature, Text · English

Big Data Concepts, Theories, and Applications

Shui. Yu (Editor), Song. Guo (Editor), SpringerLink (Online service)
ISBN 9783319277639, DOI 10.1007/978-3-319-27763-9
1st ed. 2016.
publication
Cham : Springer International Publishing; Imprint: Springer, 2016
VIII, 437 p. 97 illus., 17 illus. in color.
edited by Shui Yu, Song Guo
Online resource

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category
Non-fiction literature
Subject
COM069000, COM032000, Computer science., Computer communication systems., Computer security., Computers., Computer Science., Information Systems and Communication Service., Systems and Data Security., Computer Communication Networks.
Has other physical format
Big Data Concepts, Theories, and Applications · ISBN 9783319277615 (Printed edition:)
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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 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. .

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.

Details

Contributor and role
Shui. Yu (Editor), Song. Guo (Editor), SpringerLink (Online service)
Classification
005.7 (DDC Classification)
Identifier
ISBN 9783319277639, DOI 10.1007/978-3-319-27763-9
Indirectly identified by
ISBN 9783319277615 · Print
Title resource
Big Data Concepts, Theories, and Applications
Creative responsibility statement
edited by Shui Yu, Song Guo
Edition statement
1st ed. 2016.
publication
Cham : Springer International Publishing; Imprint: Springer, 2016
Extent
VIII, 437 p. 97 illus., 17 illus. in color.
Relaterad beskrivning eller innehåll
Table of Contents / Abstracts
dimensions
n
Physical details note
online resource.
Classification
QA75.5-76.95 (LCC Classification)
Has other physical format
Big Data Concepts, Theories, and Applications · ISBN 9783319277615 (Printed edition:)
Digital characteristic
text file, PDF, 008
Color content
n
control number
19419072

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