Hameurlain, A., & Tjoa, A. M. (Eds.). (2021). Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII (Vol. 12670). LNCS. https://doi.org/10.1007/978-3-662-63519-3
E194-01 - Forschungsbereich Software Engineering E194-04 - Forschungsbereich Data Science
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Series:
Lecture Notes in Computer Science
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ISBN:
978-3-662-63518-6 978-3-662-63519-3
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Volume:
12670
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Date (published):
2021
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Number of Pages:
209
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Keywords:
communication channels (information theory); computer networks; computer security; data communication systems; data handling; data mining; data security; databases; distributed computer systems; information management; information technology; mobile telecommunication systems; network protocols; parallel processing systems; signal processing; software architecture; software design; software engineering; telecommunication networks; wireless telecommunication systems
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Additional information:
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.
This, the 48th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains 8 invited papers dedicated to the memory of Prof. Dr. Roland Wagner. The topics covered include distributed database systems, NewSQL, scalable transaction management, strong consistency, caches, data warehouse, ETL, reinforcement learning, stochastic approximation, multi-agent systems, ontology, model-driven development, organisational modelling, digital government, new institutional economics and data governance.
