Business Intelligence and Information Technology : Proceedings of BIIT 2022 / / edited by Aboul Ella Hassanien, Dequan Zheng, Zhijie Zhao, Zhipeng Fan

• Autore: Hassanien Aboul Ella
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (818 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Operations research; Business—Data processing; Computational Intelligence; Operations Research and Decision Theory; Business Informatics
• Altri autori: ZhengDequan ZhaoZhijie FanZhipeng
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Business Intelligence and Information Technology
• ISBN: 981-9934-16-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910734899103321
• Lo trovi qui: Univ. Federico II
• Serie: Smart Innovation, Systems and Technologies, . 2190-3026 ; ; 358