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Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge de Honghao Gao

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

Editat de Honghao Gao, Jung Yoon Kim, Walayat Hussain, Muddesar Iqbal, Yucong Duan
en Limba Engleză Paperback – 30 noi 2022
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.
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Specificații

ISBN-13: 9783030783051
ISBN-10: 3030783057
Pagini: 118
Ilustrații: XI, 118 p. 48 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria EAI/Springer Innovations in Communication and Computing

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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 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, ICONIP etc. He has won multiple national and international research awards and recognitions. He is the recipient of 2016 FEIT HDR Publication Award, by the University of Technology Sydney Australia.
Dr. Iqbal is Senior Lecturer in Mobile Computing in the Division of Computer Science and Informatics, School of  Engineering. He is an established researcher and expert in the fields of: mobile cloud computing and open-based networking for applications in disaster management and healthcare; community networks; and smart cities. Dr Iqbal won an EPSRC Doctoral Training Award in 2007 and completed his PhD from Kingston University in 2010 with a dissertation titled “Design, development, and implementation of a high-performance wireless mesh network for application in emergency and disaster recovery”. He has been a principal investigator, co-investigator, project manager, coordinator and focal person of more than 10 internationally teamed research and development, capacity building andtraining projects, with total funding of approximately over a million pounds from different international organisations. His research interests include 5G networking technologies, multimedia cloud computing, mobile edge computing, fog computing,Internet of Things, software-defined networking, network function virtualisation, quality of experience, and cloud infrastructures and services. He has contributed to 35 research publications  (including 24 journals, 11 conference proceedings, and 2 book chapters). His research has received 99 citations by researchers (Google Scholar, 24 August 2016).
Dr. Yucong Duan received the Ph.D. degree in software engineering from the Institute of Software, Chinese Academy of Sciences, China, in 2006. He was a Postdoctoral Fellow with the School of Software, Tsinghua University, China, from 2006 to 2007, and the Software Engineering Laboratory, Pohang University of Science and Technology (POSTECH), South Korea, from 2007 to 2008. He was a Lecturer with the Biomedical Engineering Institute, Capital University of Medical Sciences, Beijing, China, from 2008 to 2009. He was a Postdoctoral Fellow with the Le2i, CNRS, University of Bourgogne, France, from 2009 to 2010. He was also a Postdoctoral Researcher with the DISCO, University of Milano Bicocca, Milano, Italy, from 2011 to 2012. He is currently a Full Professor and the Vice Director with the Computer Science Department, Hainan University. His research interests include service computing, knowledge graphs, and big data. He is also a Senior Member of CCF.
 

Textul de pe ultima copertă

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.

Caracteristici

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