Intelligent Processing and IT tools for E-Commerce Data, Information and Knowledge

Lead Guest Editors:

• honghao gao (shanghai university)

Guest Editors:

• Walayat Hussain (Australian Catholic University)
• JungYoon KIM (Gachon University/Graduate School of Game)
• Muddesar Iqbal (London South Bank University, London, United Kingdom,)+ BioMuddesar Iqbal completed his PhD Funded by EPSRC Doctoral Training Award for 4G-based Reconfigurable Mobile Healthcare System from Kingston University, the UK in 2010. He has more than 20 years of professional experience and has worked with several universities in UK, EU and South East Asia. He is currently working as a Senior Lecturer with London South Bank University. He has been a principal investigator, co-investigator, project manager, coordinator and focal person of more than 15 internationally teamed research and development, capacity building and training projects, resulting in several patented inventions, commercial products and startups. His areas of research are Internet of Sense for Industry 5.0, Intelligent Autonomous Machines/Robotics, Conversational AI and Chabot’s, Personalization/Recommendation, 6G Context-Aware Systems, and Collaborative Cognitive-Communication Systems.

This book discusses recent research and applications about Intelligent Processing and IT tools and communication 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 the academic 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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Intelligent Processing, E-Commerce, Data, Information and Knowledge, machine learning, deep learning