Hameurlain Transactions on Large-Scale Data- and Knowledge-Centered Systems LI

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

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Special Issue on Data Management - Principles, Technologies and Applications

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Beschreibung

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.


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.


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

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Abdelkader Hameurlain

Themen in »Transactions on Large-Scale Data- and Knowledge-Centered Systems LI«

artificial intelligence big data clustering algorithms communication channels (information theory) communication systems computer hardware computer networks computer security computer systems data mining detection algorithm digital storage signal processing World Wide Web

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“The volume under review contains five papers from the 37th Conference on Data Management – Principle, Technologies and Applications (BDA 2021), covering a range of research topics in data management, threat modeling, resource description framework (RDF) schema generation, data coverage optimization, data quality, storage, and data science. ... This collection is certainly useful for researchers in big data processing and cybersecurity.” (Anoop Malaviya, Computing Reviews, November 28, 2025) 


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Details

ISBN: 9783662661116
Verlag: Springer Berlin
Erscheinung: 07.10.2022

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