Table Of ContentNEW AGE ANALYTICS
Transforming the Internet through
Machine Learning, IoT, and Trust Modeling
NEW AGE ANALYTICS
Transforming the Internet through
Machine Learning, IoT, and Trust Modeling
Edited by
Gulshan Shrivastava, PhD
Sheng-Lung Peng, PhD
Himani Bansal, PhD
Kavita Sharma, PhD
Meenakshi Sharma, PhD
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Library and Archives Canada Cataloguing in Publication
Title: New age analytics : transforming the internet through machine learning, IoT and trust modeling/
edited by Gulshan Shrivastava, PhD, Sheng-Lung Peng, PhD, Himani Bansal, PhD, Kavita Sharma,
PhD, Meenakshi Sharma, PhD.
Names: Shrivastava, Gulshan, 1987- editor. | Peng, Sheng-Lung, editor. | Bansal, Himani, 1985-
editor. | Sharma, Kavita, 1985- editor | Sharma, Meenakshi, editor.
Description: Includes bibliographical references and index.
Identifiers: Canadiana (print) 20200216945 | Canadiana (ebook) 20200217038 | ISBN 9781771888752
(hardcover) | ISBN 9781003007210 (ebook)
Subjects: LCSH: Machine learning
Classification: LCC Q325.5 .N49 2020 | DDC 006.3/1—dc23
CIP data on file with US Library of C o ngress
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About the Editors
Gulshan Shrivastava, PhD, is currently working
as a research fellow in the department of computer
science engineering in the National Institutes
of Technology Patna (Institute of National
Importance), India. He has edited or authored
more than six books, 10 book chapters, and 35
articles in international journals and conferences
of high repute, including those published by
IEEE, Elsevier, ACM, Springer, Inderscience,
IGI Global, Bentham Science etc. He has also served as Associate Editor of
several journals, including the Journal of Global Information Management
and International Journal of Digital Crime and Forensics (published by
IGI Global) and Section Editor of SCPE. He is also serving in many various
roles for several for journals, such as guest editor, editorial board member,
international advisory board member, and reviewer board.
In addition, he received Master of Technology in Information Security
from GGSIPU Delhi, India; and Bachelor of Engineering in CSE from
the Maharishi Dayanand University, India. He submitted his PhD Thesis
in Computer Science and Engineering of National Institute of Technology
Patna (Institute of National Importance), India. He also earned SCJP 5.0
certification from Sun Microsystem. He has also delivered expert talks,
guest lectures at international conferences and has been a convener for
the International Conference On Innovative Computing and Communica-
tion (2020 and 2019), organizing chair in the International Conference on
Computational Intelligence and Data Analytics (2018), and publication
chair for MARC (2018). He is a life member of the International Society for
Technology in Education and a professional member of IEEE, CSI, ACM,
SIGCOMM, and many other professional bodies. He has an ardent inclina-
tion toward the field of analytics and security. His research interests include
information security, data analytics, cyber security and forensics, mobile
computing, intrusion detection, and computer networks.
About the Editors
vi
Sheng-Lung Peng, PhD, is a Professor in the
Department of Computer Science and Information
Engineering at National Dong Hwa University,
Hualien, Taiwan. He is now the Dean of the
Library and Information Services Office of
NDHU (NDHU), an honorary Professor of Beijing
Information Science and Technology University
of China, and a visiting Professor at the Ningxia
Institute of Science and Technology of China. He
serves the director of the ICPC Contest Council for the Taiwan region, a
director of the Institute of Information and Computing Machinery, of the
Information Service Association of Chinese Colleges, and of the Taiwan
Association of Cloud Computing. He is also a supervisor of the Chinese
Information Literacy Association, of the Association of Algorithms and
Computation Theory, and of the Interlibrary Cooperation Association in
Taiwan. His research interests are in designing and analyzing algorithms
for bioinformatics, combinatorics, data mining, and networks. Dr. Peng
has edited several special issues of journals, such as Soft Computing,
Journal of Internet Technology, Journal of Computers, MDPI Algorithms,
and others. He published over in 100 journal and international conferences
papers.
Dr. Peng received a BS degree in Mathematics from National Tsing
Hua University, and MS and PhD degrees in Computer Science from the
National Chung Cheng University and National Tsing Hua University,
Taiwan, respectively.
Himani Bansal, PhD, has served as an Assistant
Professor at various reputable engineering colleges
and universities. Currently, she is working with the
Jaypee Institute of Information Technology, Noida,
India. She has over 12 years of demonstrated
success and an excellent academic record (batch
topper in master’s and 100/100 in Mathematics in
Class X). Her extensive background of includes
involvement in team building activities, effective
communication with excellent planning, organizational, and negotiation
strengths, as well as the ability to lead, reach consensus, establish goals,
and attain results. Her many reputed certifications include SAP-ERP
About the Editors
vii
Professional from the prestigious company SAP India Pvt. Ltd.; UGC
National Eligibility Test (NET), IBM Certified Academic Associate DB2 9
Database and Application Fundamentals; Google Analytics Platform Prin-
ciples by Google Analytics Academy; E-Commerce Analytics by Google
Analytics Academy; and RSA (Rational Seed Academy) by IBM India.
She has penned many research papers for various international journals
and conferences. She also has books to her credit along with edited chap-
ters in international books. She was awarded the Eighth Annual Excel-
lence Award in Research Journal Awards for the outstanding article by
IGI Global for “Mitigating Information Trust-Taking the Edge of Health
Websites.” She has served as a section editor, guest editor, convener, and
session chair for various reputable iournals and conferences, such as SCPE,
NGCT, India Com, CSI Digital Life, IJAIP, JGIM, ICACCI, ICCCA, etc.
and has reviewed many research papers. She has organized, coordinated,
and attended FDPs, trainings, seminars, and workshops. She has also coor-
dinated workshops for IIT Bombay under the NMEICT program initiated
by the Ministry of HRD, India. She serves as a life member of various
professional societies, such as CSI, ISTE, CSTA, and IAENG, and is an
active member of IEEE and ACM.
Dr. Bansal earned her engineering degree from Rajasthan University in
2006, followed by corporate experience with a reputed company. Further,
to fulfill her academic interests, she completed her master’s and PhD
degrees from Birla Institute of Technology, Mesra, India.
Kavita Sharma, PhD, is working as an Associate
Professor in the Department of CSE at G.L. Bajaj
Institute of Technology & Management, Greater
Noida, India. She formerly worked as an Assistant
Professor at Dronacharya College of Engineering,
Greater Noida, India, and Lecturer in Northern
India Engineering College, Delhi, India. She has
published five books and more than 45 research
papers, chapters, editorials in international
journals and conferences. She is also served as Section Editor of Scal-
able Computing (SCPE). She is also serving many reputable journals as
guest editor, editorial board member, and international advisory board
member. In addition, Dr. Sharma has also delivered the expert talks and
guest lectures at international conference and serving as the reviewer for
About the Editors
viii
journals of IEEE, Springer, Inderscience, Wiley, etc. She is a member of
IEEE, ACM, CSI (Life Member), SDIWC, Internet Society, Institute of
Nanotechnology (Life Member), IAENG (Life Member), IACSIT, CSTA,
and IAOE. She has actively participated in different faculty development
programs and in various national and international workshops. Her areas
of interest includes information and cyber security, mobile computing,
android, web mining, data analytics and machine learning.
Dr. Sharma received a PhD in Computer Engineering from the National
Institute of Technology, Kurukshetra, (Institution of National Importance)
India, and an MTech in Information Security from Ambedkar Institute
Technology of Advanced Communication Technology & Research
(formerly Ambedkar Institute of Technology), Delhi, India. She has also
completed her BTech in IT from the I.M.S. Engineering College, Ghazi-
abad, India. In addition, she was awarded a Fellowship from the Ministry
of Electronics and Information Technology, Government of India.
Meenakshi Sharma, PhD, is working as an
Professor at the School of Computer Science and
Engineering, Galgotias University, India. She has
over 15+ years of experience in teaching. She has
published over 50 research publications in IEEE
Transaction, SCIE, SCI, and Scopus. She worked
as a guest editor for the International Journal of
Electronics, Communications, and Measurement
Engineering. She had guided one PhD candidate, and six candidates are
currently under her guidance. Her research interests are big data analytics,
data compression, digital image processing, and data warehousing. She
received her MTech in Computer Science and Engineering from Kuruk-
shetra University, India, and was awarded her PhD in Computer Science
from Kurukshetra University as well.
Contents
Contributors ...................................................................................... xi
Abbreviations ....................................................................................xv
Preface .............................................................................................xix
1. Digital Marketing and Analysis Techniques:
Transforming Internet Usage ..................................................................... 1
Meenakshi Sharma, Nidhika Chauhan, Himani Bansal, and Loredana Stanciu
2. Machine Learning Techniques and Tools: Merits and Demerits .......... 23
V. Ramasamy, B. Gomathy, O. Obulesu, Joy Lal Sarkar, Chhabi Rani Panigrahi,
Bibudhendu Pati, and Abhishek Majumder
3. Machine Learning and Its Applicability in Networking ....................... 57
Amit Jain and Anand Nayyar
4. Machine Learning to Gain Novel Insight on Web
Network Analysis ...................................................................................... 81
Meenakshi Sharma, Anshul Garg, and Nitin Jain
5. Online Trust Evaluation ......................................................................... 103
Deepak Kumar Sharma, Nikita Chawla, and Ravin Kaur Anand
6. Trust-Based Sentimental Analysis and Online Trust Evaluation ....... 135
S. Rakeshkumar and S. Muthuramalingam
7. Denaturing the Internet Through a Trust Appraisement
Paradigm by QoS Accretion ................................................................... 157
Sherin Zafar and Deepa Mehta
8. Collaborative Filtering in Recommender Systems:
Technicalities, Challenges, Applications, and Research Trends ......... 183
Pradeep Kumar Singh, Pijush Kanti Dutta Pramanik, and Prasenjit Choudhury
9. Business Application Analytics Through the Internet of Things ........217
Deepak Kumar Sharma, Pragi Malhotra, and Jayant Verma
10. Business Application Analytics and the Internet of Things:
The Connecting Link .............................................................................. 249
Ankita Gupta, Ankit Srivastava, Rohit Anand, and Tina Tomažič
