UID:
almahu_9949387859202882
Umfang:
IX, 137 p. 50 illus., 44 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783662661116
Serie:
Transactions on Large-Scale Data- and Knowledge-Centered Systems, 13410
Inhalt:
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 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 51th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four fully revised and extended papers selected from the 37th conference on Data Management - Principles, Technologies and Applications, BDA 2021. The topics cover a wide range of timely data management research topics on threats modelling, RDF schema generation, data coverage optimization, data quality and storage on synthetic DNA.
Anmerkung:
Threats Modeling And Anomaly Detection In The Behaviour Of A System - A Review Of Some Approaches -- Incremental Schema Generation for Large and Evolving RDF Sources -- Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups -- Efficiently identifying disguised missing values in heterogeneous, text-rich data -- Digital Preservation with Synthetic DNA. .
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783662661109
Weitere Ausg.:
Printed edition: ISBN 9783662661123
Sprache:
Englisch
DOI:
10.1007/978-3-662-66111-6
URL:
https://doi.org/10.1007/978-3-662-66111-6
URL:
Volltext
(URL des Erstveröffentlichers)
URL:
Volltext
(URL des Erstveröffentlichers)
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