Big data analytics for Internet of things / (Record no. 69495)

000 -LEADER
fixed length control field 04651cam a22005898i 4500
001 - CONTROL NUMBER
control field on1224584792
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711203649.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201105s2021 nju ob 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119740780
-- (electronic bk. : oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119740789
-- (electronic bk. : oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119740773
-- (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119740770
-- (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119740766
-- (adobe pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119740762
-- (adobe pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hardback)
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000068356191
082 00 - CLASSIFICATION NUMBER
Call Number 005.7
245 00 - TITLE STATEMENT
Title Big data analytics for Internet of things /
250 ## - EDITION STATEMENT
Edition statement First edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource
520 ## - SUMMARY, ETC.
Summary, etc "Big Data Analytics is a briskly expanding research area spanning diverse fields. The efficacy of Big Data Analytics is found mainly in the domain of Internet of Things (IoT). The number of IoT devices is anticipated to amount to several billion in the next few years. This unpredictable growth in the number of devices connected to IoT and the exponential rise in data consumption manifest how the expansion of big data seamlessly coincides with that of IoT. The main objective of Big Data Analytics in IoT is to identify trends in the data, extract concealed information and to dig out valuable information from the raw data generated by IoT systems. This is crucial for dispensing elite services to IoT users. In this regard, investigating the recent technological advancements in the said area becomes indispensable."--
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Big Data Analytics for the Internet of Things / Tausifa Jan Saleem, Mohammad Ahsan Chishti -- Data, Analytics and Interoperability Between Systems (IoT) iscongruous with the Economics of Technology / Shoumen Palit Austin Datta, Tausifa Jan Saleem, Molood Barati, Maria Victoria Loez Loez, Marie-Laure Furgala, Diana C Vanegas, G©♭rald Santucci, Pramod P Khargonekar, Eric S McLamore -- Machine Learning Techniques for IoT Data Analytics / Nailah Afshan, Ranjeet Kumar Rout -- IoT Data Analytics Using Cloud Computing / Anjum Sheikh, Sunil Kumar, Asha Ambhaikar -- Deep Learning Architectures for IoT Data Analytics / Snowber Mushtaq, Omkar Singh -- Adding Personal Touches to IoT / Sarabjeet Kaur Kochhar -- Smart Cities and the Internet of Things / Hemant Garg, Sushil Gupta, Basant Garg -- A Roadmap for Application of IoT-Generated Big Data in Environmental Sustainability / Ankur Kashyap -- Application of High-Performance Computing in Synchrophasor Data Management and Analysis for Power Grids / CM Thasnimol, R Rajathy -- Intelligent Enterprise-Level Big Data Analytics for Modeling and Management in Smart Internet of Roads / Amin Fadaeddini, Babak Majidi, Mohammad Eshghi -- Predictive Analysis of Intelligent Sensing and Cloud-Based Integrated Water Management System / Tanuja Patgar, Ripal Patel -- Data Security in the Internet of Things / Shashwati Banerjea, Shashank Srivastava, Sachin Kumar -- DDoS Attacks / R K Deka, D K Bhattacharyya, J K Kalita -- Securing the Defense Data for Making Better Decisions Using Data Fusion / Syed Rameem Zahra -- New Age Journalism and Big Data (Understanding Big Data and Its Influence on Journalism) / Asif Khan, Heeba Din -- Two Decades of Big Data in Finance / Nufazil Altaf.
700 1# - AUTHOR 2
Author 2 Saleem, Tausifa Jan,
700 1# - AUTHOR 2
Author 2 Chishti, Mohammad Ahsan,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1002/9781119740780
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Hoboken, NJ :
-- Wiley,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
520 ## - SUMMARY, ETC.
-- Provided by publisher.
588 0# -
-- Print version record and CIP data provided by publisher; resource not viewed.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big data.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Internet of things.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big data.
-- (OCoLC)fst01892965
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Internet of things.
-- (OCoLC)fst01894151
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-- 92
-- DG1

No items available.