Table Of ContentHANDBOOK OF
RESEARCH FOR BIG DATA
Concepts and Techniques
HANDBOOK OF
RESEARCH FOR BIG DATA
Concepts and Techniques
Edited by
Brojo Kishore Mishra, PhD
Vivek Kumar, PhD
Sanjaya Kumar Panda, PhD
Prayag Tiwari, PhD
First edition published 2022
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Library and Archives Canada Cataloguing in Publication
Title: Handbook of research for big data : concepts and techniques / edited by Brojo Kishore Mishra, PhD, Vivek Kumar,
PhD, Sanjaya Kumar Panda, PhD, Prayag Tiwari, PhD.
Names: Mishra, Brojo Kishore, 1979- editor. | Kumar, Vivek (Researcher in natural language processing), editor. | Panda,
Sanjaya Kumar, editor. | Tiwari, Prayag, editor.
Description: First edition. | Includes bibliographical references and index.
Identifiers: Canadiana (print) 20210339160 | Canadiana (ebook) 20210339209 | ISBN 9781771889803 (hardcover) |
ISBN 9781774639283 (softcover) | ISBN 9781003144526 (ebook)
Subjects: LCSH: Big data.
Classification: LCC QA76.9.B45 H36 2022 | DDC 005.7—dc23
Library of Congress Cataloging-in-Publication Data
Names: Mishra, Brojo Kishore, 1979- editor.
Title: Handbook of research for big data : concepts and techniques / edited by Brojo Kishore Mishra, PhD, Vivek Kumar,
PhD, Sanjaya Kumar Panda, PhD, Prayag Tiwari, PhD.
Description: First edition. | Palm Bay, FL : Apple Academic Press, [2022] | Includes bibliographical references and
index. | Summary: "Data has become a valuable asset like never before. Today the challenge is not a shortage of data
but the need for techniques and methods capable enough to be able to glean valuable insights from the fast-flowing
mass of Big Data. This new volume, Handbook of Research for Big Data: Concepts and Techniques, helps to meet
the challenge of managing and using Big Data by presenting new research on various technological advances in the
field. The chapters in the book present information on important applications, concepts, and technologies for Big
Data in the present industry and market scenario. It looks at research domain issues and their solutions as well as
various research case studies, research plans, methodologies, and related data sets for the four Vs: volume, velocity,
variety, and veracity. Chapters discuss Big Data in governance, transportation, disaster management, epidemiology,
and more. The book covers design and analysis of reconfigurable computing of SoC for IoT, data mining techniques
and applications, the use of natural language processing in big data, and more. The volume is a valuable resource for
researchers from both academia and industry to learn about and enhance their knowledge and skills in the broad area
of big data computing and applications"-- Provided by publisher.
Identifiers: LCCN 2021047270 (print) | LCCN 2021047271 (ebook) | ISBN 9781771889803 (hardback) | ISBN 9781774639283
(paperback) | ISBN 9781003144526 (ebook)
Subjects: LCSH: Big data.
Classification: LCC QA76.9.B45 H3648 2022 (print) | LCC QA76.9.B45 (ebook) | DDC 005.7--dc23/eng/20211007
LC record available at https://lccn.loc.gov/2021047270
LC ebook record available at https://lccn.loc.gov/2021047271
ISBN: 978-1-77188-980-3 (hbk)
ISBN: 978-1-77463-928-3 (pbk)
ISBN: 978-1-00314-452-6 (ebk)
About the Editors
Brojo Kishore Mishra, PhD
Professor, Computer Science and Engineering
Department, GIET University, Gunupur,
Odisha, India
Brojo Kishore Mishra, PhD, is Professor in the
Computer Science and Engineering Department at
the Gandhi Institute of Engineering and Technology
University (GIET), Gunupur, Odisha, India. He has published more than 30
research papers in national and international conference proceedings, over 25
research papers in peer-reviewed journals, and over 20 book chapters, and
has authored two books and edited three books to date. His research interests
include data mining and big data analysis, machine learning, soft computing,
and evolutionary computation. He received his PhD degree in Computer
Science from the Berhampur University, Brahmapur, Odisha, India.
Vivek Kumar, PhD
Marie Sklodowska-Curie Researcher,
University of Cagliari, Italy & Philips Research,
The Netherlands
Vivek Kumar, PhD, is a researcher in the NLP field.
He formerly worked as a Research Engineer for a
SHiP (search for hidden particles) project of CERN
extended with NUST-MISIS. He has also rendered
his services to the Embassy of India in Moscow to
the education and defense sector for strengthening Indo-Russian bilateral
relations. He is a member of the Defense and Security Software Engineers
Association, Italy. He has authored several publications and is also a reviewer,
editor, and TP member of several conferences and journals of IEEE, ACM,
Springer, Elsevier, MDPI, and IGI-Global. His research interests include
machine learning, deep learning, natural language processing, and sentiment
analysis applied in the healthcare domain. He received his MS degree from
NUST-MiSIS, Russian Federation, in 2007.1
vi About the Editors
Sanjaya Kumar Panda, PhD
Assistant Professor and Head,
Department of Computer Science & Engineering,
Indian Institute of Information Technology, Design
and Manufacturing, Kurnool, Andhra Pradesh,
India
Sanjaya Kumar Panda, PhD, is Assistant Professor
and Head of the Department of Computer Science
& Engineering at the Indian Institute of Information Technology, Design
and Manufacturing, Kurnool, Andhra Pradesh, India. He formerly worked as
Assistant Professor in the Department of IT at VSSUT, Burla, Odisha, India.
He received a PhD degree from IIT (ISM) Dhanbad, Jharkhand, India; his
MTech degree from NIT, Rourkela, Odisha, India; and a BTech degree from
VSSUT, Burla, Odisha, India in CSE. He received two silver medal awards
for the best graduate and best postgraduate in CSE. Other awards include an
institution award, IEEE brand ambassador designation, and SGSITS national
award for the best research work by a young teacher of engineering college
for the year 2017. He was also a faculty with maximum publishing in CSI
publications award, young IT professional award (2017 and 2016), young
scientist award, CSI paper presenter award at an international conference,
and CSI distinguished speaker award. He has published more than 60 papers
in reputed journals and conferences. He is a member of IEEE, an associate
member of IEI, a life member of ISTE, and a life member of CSI, IAENG,
IACSIT, UACEE, ACEEE, and SDIWC. His current research interests include
recommender systems, cloud computing, big data analytics, grid computing,
fault tolerance, and load balancing. He has delivered several invited talks
and has chaired sessions at many national and international conferences and
workshops. He acted as a reviewer for many reputed journals. He also acted as
guest editor in many international journals.
Prayag Tiwari, PhD
Marie Sklodowska Curie Researcher,
University of Padova, Italy
Prayag Tiwari, PhD, is currently Marie Sklodowska
Curie Researcher with the University of Padua,
Italy. He was previously a Research Assistant
with NUST MISIS, and he has had teaching
and industrial work experience. He has several
About the Editors vii
publications in journals, book series, and conferences of IEEE, ACM,
Springer, Elsevier, MDPI, Taylor and Francis, and IGI-Global. His research
interests include machine learning, deep learning, quantum-inspired
machine learning, and information retrieval. He received his MSc degree
from NUST MISIS, Moscow. He is currently pursuing a PhD degree at the
University of Padova, Italy.
Contents
Contributors .............................................................................................................xi
Abbreviations .........................................................................................................xiii
Preface ..................................................................................................................xvii
1. Big Data in Governance in India: Case Studies ...........................................1
Mukesh Choubisa
2. Design and Analysis of Reconfigurable Computing of
SoC for IoT Applications ..............................................................................29
Ipseeta Nanda and Nibedita Adikari
3. A Review of Different Data Mining Techniques Used in
Big Data Applications ...................................................................................59
Chandrakanta Mahanty, Devpriya Panda, and Brojo Kishore Mishra
4. Big Data Applications in Transportation Systems Using the
Internet of Things .........................................................................................91
Sunil Kumar Gautam, Riddhi B. Prajapati, and Hari Om
5. Overview of Big Data and Natural Language Processing:
A Powerful Combination for Research .....................................................113
Bishwa Ranjan Das and Brojo Kishore Mishra
6. An Insight into Big Data and Its Pertinence .............................................137
Lopamudra Hota and Prasant Kumar Dash
7. Big Data Science: Models and Approaches, Characteristics,
Challenges, and Applications .....................................................................157
Riyanshi Gupta, Kartik Krishna Bhardwaj, and Deepak Kumar Sharma
8. Conceptual Frameworks for Big Data Visualization:
Discussion on Models, Methods, and Artificial Intelligence for
Graphical Representations of Data ...........................................................197
Cherilyn Conner, Jim Samuel, Myles Garvey, Yana Samuel, and Andrey Kretinin
9. Role of Machine Learning in Big Data Peregrination .............................235
Aradhana Behura and Sanjaya Kumar Panda
10. Artificial Neural Networks: Fundamentals, Design, and Applications .... 277
Nishant Kashyap, Anjana Mishra, and Brojo Kishore Mishra
