Business Intelligence and Information Technology (eBook, PDF)

Proceedings of BIIT 2023
Redaktion: Hassanien, Aboul Ella; Fan, Zhipeng; Zhao, Zhijie; Zheng, Dequan

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 2023 International Conference on Business Intelligence and Information Technology (BIIT 2023) held in Harbin, China, during December 16-17, 2023. BIIT 2023 is organized by the School of Computer and Information Engineering, Harbin University of Commerce, and supported by Scientific Research Group in Egypt (SRGE), Egypt. The papers cover current research in electronic commerce technology and application, business intelligence and decision making, digital economy, accounting informatization, intelligent information processing, image processing and multimedia technology, signal detection and processing, communication engineering and technology, information security, automatic control technique, data mining, software development, and design, blockchain technology, big data technology, and artificial intelligence technology.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 661
• Erscheinungstermin: 29. August 2024
• Englisch
• ISBN-13: 9789819739806
• Artikelnr.: 71503567

Autorenporträt

Dr. Aboul Ella Hassanien is Founder and Head of the Egyptian Scientific Research Group (SRGE) and Professor of Information Technology at the Faculty of Computer and Information, Cairo University. He has more than 1000 scientific research papers published in prestigious international journals and over 60 books covering such diverse topics as data mining, medical images, intelligent systems, artificial intelligence, COVID-19, social networks, drones, and smart environment. He won several awards, including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait in 2004 Award and received the scientific in Technology-University Award (Cairo University, 2013). Also, he was honored in Egypt as Best Researcher at Cairo University in 2013. He also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and the State Award for excellence in engineering sciences 2015. He won the Showman Foundation Award for Arab Researchers in 2016. He received the Order of Science and Arts of the First Class from the President of the Arab Republic of Egypt in 2017-the Cairo University Appreciation Award in 2021-the Siddiq Afifi Award in 2020. He received the State Award for Excellence in Engineering Sciences in 2017 and the Cairo University Appreciation Award in 2021 in Advanced Engineering Sciences. Also, he won the Scopus international award (2019). The Cairo University Appreciation Award in 2022 in Advanced Engineering Sciences and the Siddik Afifi Award in 2018. Dequan Zheng has a B.Sc. (Harbin, China), an M.Sc. (Harbin, China), and a Ph.D. (Harbin, China) in Computer Science and Technology. He has a long experience in teaching various computing courses at Harbin University of Commerce and Harbin Institute of Technology. The courses he has taught have included Artificial Intelligence, Data Structures and Algorithms, Programming, Business Intelligence, and Data Analytics. He supervises undergraduate and postgraduate projects. He has Natural Language Processing research in Artificial Intelligence and Business Data Analytics in Electronic Commerce, including Human-Machine Dialogue, Information Extraction, Data Mining, etc. Zhipeng Fan, Ph.D., is Associate Professor, Member of the Key Laboratory of Electronic, Commerce, and Information Processing; Member of China Computer Federation; Associate Editor of the International Journal of Smart Business and Technology; and SCI Journal Reviewer. His main research fields include business intelligence, blockchain theory and application, and signal and information processing. In recent years, he has published more than 20 papers in journals and 2 textbooks. He has completed more than 10 scientific research projects and obtained 2 national invention patents and 2 software Copyrights. Zhijie Zhao, Doctor of Engineering, is Visiting Scholar of New York University, Director of e-commerce and information processing laboratory and currently Professor of Harbin University of Commerce. He has more than 100 scientific research papers published in well-known journals and conferences, over 11 books and 7 invention patents. He has presided over and participated in more than 30 National Natural Science Foundation of China and other scientific research projects and won many scientific research awards. His main research fields include medical image processing, character image recognition, intelligent information processing, business intelligence, online reviews, and consumer engagement.