Big Data Concepts, Theories, and Applications (Record no. 56091)

000 -LEADER
fixed length control field 03624nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-319-27763-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111851.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160303s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319277639
-- 978-3-319-27763-9
082 04 - CLASSIFICATION NUMBER
Call Number 005.7
245 10 - TITLE STATEMENT
Title Big Data Concepts, Theories, and Applications
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages VIII, 437 p. 97 illus., 17 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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. .
700 1# - AUTHOR 2
Author 2 Yu, Shui.
700 1# - AUTHOR 2
Author 2 Guo, Song.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-27763-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer communication systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer security.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computers.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Systems and Communication Service.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Systems and Data Security.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
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-- ZDB-2-SCS

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