Transactions on Large-scale Data- and Knowledge-centered Systems Li: Special Issue on Data Management - Principles, Technologies and Applications

Hameurlain, Abdelkader (Editor)/ Tjoa, A. Min (Editor)/ Pacitti, Esther (Editor)/ Miklos, Zoltan (Editor)

ISBN 10: 3662661101 / ISBN 13: 9783662661109

Verlag: Springer-Nature New York Inc, 2023

Beschreibung

146 pages. 9.25x6.10x0.32 inches. In Stock.

Bestandsnummer des Verkäufers x-3662661101

Bibliografische Details

• Titel: Transactions on Large-scale Data- and Knowledge-centered Systems Li: Special Issue on Data Management - Principles, Technologies and Applications
• Verlag: Springer-Nature New York Inc
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 3662661101
• ISBN-13: 9783662661109
• Einband: Paperback
• Zustand: Brand New
• Gewicht: 0,22 Kilogramm

Über diesen Titel

Inhaltsangabe

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 51st issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised selected regular papers. Topics covered include data anonyomaly detection, schema generation, optimizing data coverage,  and digital preservation with synthetic DNA.

Von der hinteren Coverseite

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.