Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge
(Sprache: Englisch)
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...
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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.Inhaltsverzeichnis zu „Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge “
Part I. Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge.- Chapter 1. Distant Supervision for E-commerce Query Segmentation via Attention Network.- Chapter 2. Volunteer Task Recommender in Humanitarian Supply Chain for Effective Disaster Management.- Chapter 3. Purpose Computation Oriented Modeling and Transformation on DIKW Architecture.- Chapter 4. Toward a Blockchain-based Rural Supply Chain Management Platform for Targeted Poverty Alleviation in China.- Chapter 5. Centralised Quality of Experience & Service Framework using PROMETHEE-II for cloud provider selection.- Chapter 6. Analysis of e-Consumer Behavior during the COVID-19 pandemic.Autoren-Porträt
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 Journalof 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. He is a European Union Institutions-appointed external expert for reviewing and monitoring EU Project, is a member of the EPSRC Peer Review Associate College for UK Research and Innovation in the UK, and is also a founding member of the IEEE Computer Society Smart Manufacturing Standards Committee.Dr. Jung Yoon Kim was born in Seoul, South Korea, in 1979. He received the B.S. and M.S. degrees from Hoseo University, in 2002 and 2006, respectively, and the Ph.D. degree from the Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University, in
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2013, all in game engineering. From 2004 to 2005, he was a Game Designer with Game Industry for online casual game. Then, he started teaching game design with the Game Specialized School, Chung-Ang University, in 2006. From 2009 to 2013, he served as a Professor with the Chungkang College of Cultural Industries. From 2009 to 2014, he has been the CEO of Nextgames, where he also served as the Project Leader. From 2015 to 2018, he was the Former Vice President of the Korea Game Developer Associations. He is currently an Assistant Professor with the Graduate School of Game, Gachon University, while serving as the Director of the Start-Up Education Center. He has many publications in various researching journals and books. His research interests include IT specifically on the techniques of computer games, AI, virtual reality technology, and interactive technology. He has been serving as the Editor-In-Chief for the Korea Computer Game Association, since 2016.
Dr Walayat Hussain is a professional academic, researcher and practitioner in computer science and information system with over 12 years of academic and industry experience. He is working as a Lecturer - sessional at the Faculty of Engineering and Information Technology, UTS. Walayat received his PhD from the University of Technology Sydney. He worked as a Lecturer and Assistant Professor at the BUITEMS for many years. Walayat's research areas are business intelligence, cloud computing and usability engineering by focusing on providing an informed decision to different stakeholders. He has published in various top-ranked reputable ERA- A*, SJR-Q1, JCR-Q1 journals and conferences such as: The Computer Journal (Oxford University), Information Systems, Future Generation Computer Systems, IEEE Access, Computers & Industrial Engineering, Mobile Networks and Applications, Journal of Ambient Intelligence and Humanized Computing, Global Journal of Flexible Systems Management, FUZZ-IEEE, ICON
Dr Walayat Hussain is a professional academic, researcher and practitioner in computer science and information system with over 12 years of academic and industry experience. He is working as a Lecturer - sessional at the Faculty of Engineering and Information Technology, UTS. Walayat received his PhD from the University of Technology Sydney. He worked as a Lecturer and Assistant Professor at the BUITEMS for many years. Walayat's research areas are business intelligence, cloud computing and usability engineering by focusing on providing an informed decision to different stakeholders. He has published in various top-ranked reputable ERA- A*, SJR-Q1, JCR-Q1 journals and conferences such as: The Computer Journal (Oxford University), Information Systems, Future Generation Computer Systems, IEEE Access, Computers & Industrial Engineering, Mobile Networks and Applications, Journal of Ambient Intelligence and Humanized Computing, Global Journal of Flexible Systems Management, FUZZ-IEEE, ICON
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Bibliographische Angaben
- 2022, 1st ed. 2022, XI, 118 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Honghao Gao, Jung Yoon Kim, Walayat Hussain, Muddesar Iqbal, Yucong Duan
- Verlag: Springer, Berlin
- ISBN-10: 3030783057
- ISBN-13: 9783030783051
Sprache:
Englisch
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