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.

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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.

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

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

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

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

eBook1st ed. 2022 (1st ed. 2022)

$54.99 

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Overview

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.


Product Details

ISBN-13: 9783662661116
Publisher: Springer-Verlag New York, LLC
Publication date: 10/07/2022
Series: Lecture Notes in Computer Science , #13410
Sold by: Barnes & Noble
Format: eBook
File size: 22 MB
Note: This product may take a few minutes to download.

Table of Contents

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.

 

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