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Electronics and Communications Technology
This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more.
CONTENTS: About the Authors / Editors: Editors: Gulshan Shrivastava Department of Computer Science & Engineering, National Institute of Technology Patna, India Gulshan Shrivastava is working as researcher in the Department of Computer Science & Engineering at the National Institute of Technology Patna (Institute of National Importance), India. He is the author or editor of four books and the author of more than nine book chapters and 30 articles in international journals and at conferences. He also serves as Associate Editor of the Journal Global Information Management and the International Journal of Digital Crime and Forensics. He is also the IGI Global and Section Editor of Scalable Computing and serves on many editorial boards and international advisory boards of national and international journals. Dr. Shrivastava has delivered expert talks and guest lectures at several international conferences and also was an organizer for several conferences. He is also served the founder and organizing chair of International Workshop on Recent Trends in Security and Forensic Investigation ICT in conjunction with the IEEE 4th International Conference on Advanced in Computing & Communication Engineering (ICACCE-2018), Paris, France, in June 2018. He is currently actively working on a project for risk monitoring and android behavior analysis. His research interests include information security, android, data analytics, cyber security and forensic, mobile computing, intrusion detection, and computer networks. Sheng-Lung Peng Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan Sheng-Lung Peng is a Professor of the Department of Computer Science and Information Engineering at National Dong Hwa University (NDHU), Hualien, Taiwan. He is now the Dean of the Library and Information Services Office of NDHU, an honorary Professor at the 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, Director of the Information Service Association of Chinese Colleges, and Director of the Taiwan Association of Cloud Computing. He is also a supervisor of the Chinese Information Literacy Association, Association of Algorithms and Computation Theory, and 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 so on. He has published over 100 journal papers and at international conferences. Himani Bansal Jaypee Institute of Information and Technology, Noida, India Himani Bansal has served as Assistant Professor at various reputable engineering colleges and universities. Currently, she is working with the Jaypee Institute of Information Technology, Noida, India. She holds many certifications, such as SAP-ERP Professional from SAP India Pvt. Ltd.; UGC National Eligibility Test (NET); IBM Certified Academic Associate DB2 9 Database and Application Fundamentals; Google Analytics Platform Principles by Google Analytics Academy; E-Commerce Analytics by Google Analytics Academy; and RSA (Rational Seed Academy) by IBM India. She has written many research papers for various international journals and conferences. She also has books to her credit along with edited chapters in international book series. She was also awarded the Eighth Annual Excellence Award in Research Journal Awards for her outstanding article, “Mitigating Information Trust-Taking the Edge Off Health Websites.†She has served as section editor, guest editor, convener, and session chair for various journals and conferences and has reviewed many research papers. She has organized, coordinated, and attended FDPs, training sessions, seminars, and workshops. She has also coordinated workshops for Indian Institutes of Technology Bombay under the National Mission on Education through Information and Communication Technology program initiated by the Ministry of Human Resource Development, India. She serves as life member of various professional societies, such as the Computer Society of India, International Society for Technology in Education, Computer Science Teachers Association, and International Association of Engineers, Institute of Electrical and Electronics Engineers, and Association of Computing Machinery. Kavita Sharma Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology & Management, Greater Noida, India Kavita Sharma is an Associate Professor in the Department of CSE at the G.L. Bajaj Institute of Technology & Management, Greater Noida, India. She formerly was an Assistant Professor at Dronacharya College of Engineering, Greater Noida, India, and Lecturer at 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 also served as Section Editor of Scalable Computing and serves as guest editor, editorial board member, and international advisory board member. She has also delivered the expert talks and guest lectures at international conferences and serves as the reviewer for several 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 include 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, Ghaziabad, India. In addition, she was awarded a Fellowship from the Ministry of Electronics and Information Technology, Government of India. Meenakshi Sharma School of Computer Science and Engineering, Galgotias University, India Meenakshi Sharma is working as a 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 Kurukshetra University, India, and was awarded her PhD in Computer Science from Kurukshetra University as well. |
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