Inhaltsangabe:
Recently, there has been an increase in the number of e-commerce users. This has caused online shopping to become a new and challenging market for e-commerce vendors. Security, inventory management, reliability, and performance of e-commerce websites are a few of the challenges associated with the rising popularity of e-commerce. On a daily basis, millions of e-commerce transactions are taking place. This generates a huge amount of data that can be used to solve the various challenges of e-commerce. Further study on how this data can be used to address these issues is required to propel businesses forward. Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications shares experiences and research outcomes on all aspects of intelligent software solutions such as machine learning, nature-inspired computing, and data science for business-to-consumer (B2C) e-commerce. By looking at the exponential growth of the e-commerce market and its popularity, this book also focuses on the current issues, solutions, and future possibilities in the B2C model of e-commerce. Covering a range of critical topics such as online shopping, supply chain management, and blockchain, this reference work is ideal for academic scientists, data scientists, software developers, business experts, researchers, scholars, practitioners, academicians, instructors, and students.
Über die Autorinnen und Autoren:
Saurabh Bilgaiyan is currently working as an Assistant Professor in KIIT deemed to be University, Bhubaneswar, India since 2016. He has completed his Master's and Ph.D. in Computer Science Engineering from KIIT, Deemed to be University, Bhubaneswar, India in 2014 and 2018 respectively. Bachelor’s degree of B.E. in Information Technology from B.I.R.T., Bhopal, India in 2012. Dr. Saurabh Bilgaiyan has published more than 44 research papers in various reputed International Journals, Conferences, and edited books. His area of interest includes soft computing, software engineering, cloud computing, image processing, and machine learning. He has reviewed various manuscripts in more than 25 International conferences and Journals including Soft Computing Springer, IEEE Access, IETE Journal of Research Taylor and Francis, Future Generation Computer System Elsevier, Concurrency and Computation: Practice and Experience Wiley, etc.
Himansu Das works as Associate Professor in the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, India. He has received Ph.D. in Engineering degree from Veer Surendra Sai University of Technology (VSSUT), Odisha. He has received M.Tech degree in Computer Science and Engineering from the National Institute of Science and Technology, Odisha. He has also received B.Tech degree from the Institute of Technical Education and Research, Odisha, India. He has published several research papers in various international journals and has presented at conferences. He has also edited several books published by IGI Global, Springer, CRC press, and Elsevier. He has also served on many journals and conferences as editorial or reviewer board member. He is proficient in the field of Computer Science Engineering and served as an organizing chair, a publicity chair and acted as a member of the technical program committees of many national and international conferences. He is also associated with various educational and research societies such as IET, IACSIT, ISTE, UACEE, CSI, IAENG, and ISCA. His research interests include the field of Data Mining, Soft Computing, and Machine Learning. He has also more than twelve years of teaching and research experience in various engineering colleges and universities.
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