Advances in E-Business Engineering for Ubiquitous Computing
Proceedings of the 16th International Conference on e-Business Engineering (ICEBE 2019)
(Sprache: Englisch)
This book presents the latest trends in scientific methods and enabling technologies to advance e-business. It consists of selected high-quality papers from the 16th International Conference on E-Business Engineering (ICEBE 2019), held in Shanghai, China,...
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This book presents the latest trends in scientific methods and enabling technologies to advance e-business. It consists of selected high-quality papers from the 16th International Conference on E-Business Engineering (ICEBE 2019), held in Shanghai, China, on 11-13 October 2019. ICEBE is a leading international forum for researchers, engineers, and business specialists to exchange cutting-edge ideas, findings, and experiences in the field of e-business. The book covers a range of topics, including agents for e-business, big data for e-business, Internet of Things, mobile and autonomous computing, security/privacy/trust, service-oriented and cloud computing, software engineering, blockchain, and industry applications.Inhaltsverzeichnis zu „Advances in E-Business Engineering for Ubiquitous Computing “
Semantic Document Classification based on Semantic Similarity Computation and Correlation Analysis.- An Equity-Based Incentive Mechanism for Decentralized Virtual World Content Storage.- A Group-Centric Physical Education Supporting System for Intelligent Campus Application.- Speech Evaluation based on Deep Learning Audio Caption.- Design a Distributed Fog Computing Scheme to Enhance Processing Performance in Real-Time IoT Applications.- Design Issues of a Hybrid Wrapping Attack Protecting Scheme in Cloud Computing Environment.- Towards Identification and Validation of Web Themes.- Mechanics and Quality of Agent-Informational Clustering in Social Networks.- IoT-Driven Business Model Innovation: A Case-Study on the Port of Barcelona in the Context of the Belt and Road Initiative.- Knowledge Graph Construction for Intelligent Maintenance of Power Plants.- Privacy as a Service: Anonymisation of NetFlow Traces.- Behavior-Item based Hybrid Intention-aware Frame for Sequence Recommendation.Bibliographische Angaben
- 2019, 1st ed. 2020, XXIX, 622 Seiten, 196 farbige Abbildungen, Maße: 15,4 x 23,6 cm, Kartoniert (TB), Englisch
- Herausgegeben: Kuo-Ming Chao, Lihong Jiang, Omar Khadeer Hussain, Shang-Pin Ma, Xiang Fei
- Verlag: Springer, Berlin
- ISBN-10: 3030349853
- ISBN-13: 9783030349851
Sprache:
Englisch
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