New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling PDF
Preview New 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 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 Apple Academic Press Inc. Apple Academic Press, Inc. 4164 Lakeshore Road 1265 Goldenrod Circle NE Burlington ON L7L 1A4 Palm Bay, Florida 32905 Canada USA © 2021 by Apple Academic Press, Inc. Exclusive worldwide distribution by CRC Press, a member of Taylor & Francis Group No claim to original U.S. Government works International Standard Book Number-13: 978-1-77188-875-2 (Hardcover) International Standard Book Number-13: 978-1-00300-721-0 (eBook) All rights reserved. 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The authors, editors, and the publisher have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged, please write and let us know so we may rectify in any future reprint. Trademark Notice: Registered trademark of products or corporate names are used only for explanation and identification without intent to infringe. 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 Apple Academic Press also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic format. For information about Apple Academic Press products, visit our website at www.appleacademicpress.com and the CRC Press website at www.crcpress.com 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
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