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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIX

Editat de Abdelkader Hameurlain, A Min Tjoa, Bernd Amann, François Goasdoué
en Limba Engleză Paperback – sep 2021
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 49th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four fully revised and extended papers selected from the 36th conference on Data Management - Principles, Technologies and Applications, BDA 2020. The topics cover a wide range of timely data management research topics on crowdsourcing, data streams, skyline queries and data protection.

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Specificații

ISBN-13: 9783662641477
ISBN-10: 366264147X
Pagini: 144
Ilustrații: IX, 131 p. 57 illus., 46 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.23 kg
Ediția:1st edition 2021
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Cuprins

Temporal Aggregation of Spanning Event Stream: An Extended Framework to Handle the Many Stream Models.- Reducing the Cost of Aggregation in Crowdsourcing.- A Partitioning Approach for Skyline Queries in Presence of Partial and Dynamic Orders.- Ensuring License Compliance in Linked Data with Query Relaxation.

Textul de pe ultima copertă

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 49th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four fully revised and extended papers selected from the 36th conference on Data Management - Principles, Technologies and Applications, BDA 2020. The topics cover a wide range of timely data management research topics on crowdsourcing, data streams, skyline queries and data protection.


Caracteristici

Covers a wide range of timely data management research topics Focusses on crowdsourcing, data streams, skyline queries and data protection Special issue on data management and its principles, technologies and applications