Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LII
Details
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 52nd issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains 6 fully revised selected regular papers.
Covers data anonymization and symbolic time series representation Discusses anomaly-detection in time series Touches on data management in biobanks and the design of intelligent systems for maritime transport
Inhalt
Mutida: A Rights Management Protocol for Distributed Storage Systems Without Fully Trusted Nodes.- OpenCEMS: An Open Solution for Easy Data Management in Connected Environments.- Knowledge Graph Augmentation for Increased Question Answering Accuracy.- Online Optimized Product Quantization for ANN Queries over Dynamic Database using SVD-Updating.- Empirical Study of the Model Generalization for Argument Mining in Cross-domain and Cross-topic Settings.- A Pattern Mining Framework for Improving Billboard Advertising Revenue.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783662661451
- Genre Information Technology
- Auflage 1st ed. 2022
- Editor Abdelkader Hameurlain, A Min Tjoa
- Lesemotiv Verstehen
- Anzahl Seiten 149
- Größe H8mm x B155mm x T235mm
- Jahr 2022
- EAN 9783662661451
- Format Kartonierter Einband
- ISBN 978-3-662-66145-1
- Titel Transactions on Large-Scale Data- and Knowledge-Centered Systems LII
- Untertitel Lecture Notes in Computer Science 13470 - Transactions on Large-Scale Data- and
- Herausgeber Springer
- Sprache Englisch