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Transactions on Large-Scale Data- and Knowledge-Centered Systems LI [electronic resource] : Special Issue on Data Management - Principles, Technologies and Applications / edited by Abdelkader Hameurlain, A Min Tjoa, Esther Pacitti, Zoltan Miklos.

Contributor(s): Hameurlain, Abdelkader [editor.] | Tjoa, A Min [editor.] | Pacitti, Esther [editor.] | Miklos, Zoltan [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Transactions on Large-Scale Data- and Knowledge-Centered Systems: 13410Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: IX, 137 p. 50 illus., 44 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662661116.Subject(s): Application software | Data mining | Information storage and retrieval systems | Computer and Information Systems Applications | Data Mining and Knowledge Discovery | Information Storage and RetrievalAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.3 Online resources: Click here to access online
Contents:
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 eBookSummary: 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.
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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. .

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.

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