Business Intelligence and Information Technology (eBook, PDF)

Proceedings of BIIT 2022
Redaktion: Hassanien, Aboul Ella; Fan, Zhipeng; Zhao, Zhijie; Zheng, Dequan

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 2022 International Conference on Business Intelligence and Information Technology (BIIT 2022) held in Harbin, China, during December 17-18, 2022. BIIT 2022 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: 819
• Erscheinungstermin: 3. Juli 2023
• Englisch
• ISBN-13: 9789819934164
• Artikelnr.: 68363278

Autorenporträt

Aboul Ella Hassanien is a professor at the faculty of Commuter and AI, Cairo University, Egypt. He has authored/co-authored over 1000 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. His research interest includes machine learning and applications in climate change, medical image processing, IoT, drones, and drug discovery. 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 arti¿cial intelligence, data structures and algorithms, programming, business intelligence, and data analytics. He supervises undergraduate and postgraduate projects. Dr. Dequan Zheng has natural language processing research in arti¿cial intelligence and business data analytics in electronic commerce, including human-machine dialogue, information extraction, data mining, etc. Zhijie Zhao, doctor of engineering, visiting scholar of New York University, director of e-commerce and information processing laboratory, is currently a professor at Harbin University of Commerce. He has more than 100 scienti¿c 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 scienti¿c research projects and won many scienti¿c research awards. His main research ¿elds include medical image processing, character image recognition, intelligent information processing, business intelligence, online reviews, and consumer engagement. Zhipeng Fan, Ph.D., is an associate professor, member of the Key Laboratory of Electronic Commerce and Information Processing; member of China Computer Federation; associate editor of the International Journalof Smart Business and Technology; and SCI Journal Reviewer. His main research ¿elds 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 scienti¿c research projects and obtained 2 national invention patents and 2 software copyrights.

Inhaltsangabe

Research on the Incentive Mechanism of Publishing Editors Based on Psychological Contract.- Evaluation of China's Digital Agriculture Development Level Under the Entropy Method.- Research on Patent Cooperation Network of Patent-Intensive Industries in Heilongjiang Province from the Perspective of Complex Network.- Study of Egg Product Supply Chain Benefit Allocation Based on Fuzzy Shapley Value.- Trilateral Evolutionary Game Analysis of Personal Information Use and Protection in the Digital Economy.- Research on the Evaluation of Tourism Digital Content Marketing Based on PCA-AHP