Transactions on Large-Scale Data- and Knowledge-Centered Systems L / edited by Abdelkader Hameurlain, A Min Tjoa.

Format:

Book

Contributor:

Hameurlain, Abdelkader, Editor.

Tjoa, A Min, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2510-4942 ; 12930

Language:

English

Subjects (All):

Application software.

Software engineering.

Data structures (Computer science).

Information theory.

Data mining.

Computer and Information Systems Applications.

Software Engineering.

Data Structures and Information Theory.

Data Mining and Knowledge Discovery.

Local Subjects:

Computer and Information Systems Applications.

Software Engineering.

Data Structures and Information Theory.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (VII, 117 pages) : 32 illustrations, 26 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2021.

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 (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 50th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised selected regular papers. Topics covered include data anonymization, quasi-identifier discovery methods, symbolic time series representation, detection of anomalies in time series, data quality management in biobanks, and the use of multi-agent technology in the design of intelligent systems for maritime transport.

Contents:

A Parallel Quasi-identifier Discovery Scheme for Dependable Data Anonymisation

Towards Symbolic Time Series Representation Improved by Kernel Density Estimators

Anomaly Detection in Time Series

Designing Intelligent Marine Framework Based on Complex Adaptive System Principle

Data Item Quality for Biobanks.

Other Format:

Printed edition:

ISBN:

978-3-662-64553-6

9783662645536

Access Restriction:

Restricted for use by site license.