Transactions on Large-Scale Data- and Knowledge-Centered Systems LI : Special Issue on Data Management - Principles, Technologies and Applications / edited by Abdelkader Hameurlain, A Min Tjoa, Esther Pacitti, Zoltan Miklos.

Format:

Book

Contributor:

Hameurlain, Abdelkader, Editor.

Tjoa, A Min, Editor.

Pacitti, Esther, Editor.

Miklos, Zoltan., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2510-4942 ; 13410

Language:

English

Subjects (All):

Application software.

Data mining.

Information storage and retrieval systems.

Computer and Information Systems Applications.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Local Subjects:

Computer and Information Systems Applications.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Physical Description:

1 online resource (IX, 137 pages) : 50 illustrations, 44 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

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.

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. .

Other Format:

Printed edition:

ISBN:

978-3-662-66111-6

9783662661116

Access Restriction:

Restricted for use by site license.