Transactions on Large-Scale Data- and Knowledge-Centered Systems LI - Special Issue on Data Management - Principles, Technologies and Applications

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 preservationwith synthetic DNA.

Sommario

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. 

Dettagli sul prodotto

• Con la collaborazione di: Abdelkader Hameurlain (Editore), Zoltan Miklos (Editore), A Min Tjoa (Editore), Esther Pacitti (Editore), Esther Pacitti et al (Editore), A Min Tjoa (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 08.10.2022
• EAN: 9783662661109
• ISBN: 978-3-662-66110-9
• Pagine: 137
• Dimensioni: 155 mm x 8 mm x 235 mm
• Illustrazioni: IX, 137 p. 50 illus., 44 illus. in color.
• Serie: Lecture Notes in Computer Science; Transactions on Large-Scale Data- and Knowledge-Centered Systems
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo