Name: Transactions on Large-Scale Data- and Knowledge-Centered Systems Xlv: Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems (en Inglés)
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Author: Hameurlain Abdelkader,Tjoa A. Min,Chbeir Richard
ISBN: 9783662623077

portada Transactions on Large-Scale Data- and Knowledge-Centered Systems Xlv: Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems (en Inglés)

Transactions on Large-Scale Data- and Knowledge-Centered Systems Xlv: Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Hameurlain Abdelkader,Tjoa A. Min,Chbeir Richard

Idioma

Inglés

N° páginas

236

Encuadernación

Tapa Blanda

ISBN13

9783662623077

N° edición

Transactions on Large-Scale Data- and Knowledge-Centered Systems Xlv: Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems (en Inglés)

Hameurlain Abdelkader,Tjoa A. Min,Chbeir Richard (Autor) · Springer · Tapa Blanda

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Reseña del libro "Transactions on Large-Scale Data- and Knowledge-Centered Systems Xlv: Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems (en Inglés)"

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 45th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers. Topics covered include data analysis, information extraction, blockchains, and big data.