Springer Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge (EAI/Springer Innovations in Communication and Computing)

This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in artificial intelligence to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as machine learning, deep learning; personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency. From the Back Cover This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in artificial intelligence to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as machine learning, deep learning; personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency. Presents recent research and applications in intelligent processing practices and tools for e-commerce data, information and knowledge; Includes topics such as knowledge modeling and reasoning for e-commerce, AI based e-commerce data mining, and blockchain for safety and reliability; Provide a forum for experts to disseminate their recent advances and views on future perspectives in the field. About the Author Dr.Honghao Gao received the Ph.D. degree in Computer Science and started his academic career at Shanghai University in 2012. Prof. Gao is currently with the School of Computer Engineering and Science, Shanghai University, China. He is also a Professor at Gachon University, South Korea. Prior to that, he was a Research Fellow with the Software Engineering Information Technology Institute at Central Michigan University (CMU), USA, and was an Adjunct Professor at Hangzhou Dianzi University, China. His research interests include Software Formal Verification, Industrial IoT/Wireless Networks, Service Collaborative Computing, and Intelligent Medical Image Processing. He has publications in IEEE TII, IEEE T-ITS, IEEE IoT-J, IEEE TNSE, IEEE TCCN, IEEE TGCN, IEEE/ACM TCBB, ACM TOIT, ACM TOMM, ACM TMIS, IEEE TCSS, IEEE TETCI, IEEE JBHI, and IEEE Network. Prof. Gao is a Fellow of IET, BCS, and EAI, and a Senior Member of IEEE, CCF, and CAAI. He is the Editor-in-Chief for International Journal of Intelligent Internet of Things Computing(IJIITC), Editor for Wireless Network(WINE) and IET Wireless Sensor Systems(IET WSS), and Associate Editor for IEEE Transactions on Intelligent Transportation Systems(IEEE T-ITS), IET Software, International Journal of Communication Systems(IJCS), and Journal of Internet Technology(JIT). Moreover, he has broad working experiences in cooperative industry-university-research.