1.

Record Nr.

UNINA9910874673203321

Titolo

Transactions on Large-Scale Data- and Knowledge-Centered Systems LVI : Special Issue on Data Management - Principles, Technologies, and Applications / / edited by Abdelkader Hameurlain, A Min Tjoa, Reza Akbarinia, Angela Bonifati

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2024

ISBN

9783662696033

9783662696026

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (162 pages)

Collana

Transactions on Large-Scale Data- and Knowledge-Centered Systems, , 2510-4942 ; ; 14790

Disciplina

005.7565

Soggetti

Application software

Data mining

Information storage and retrieval systems

Computer and Information Systems Applications

Data Mining and Knowledge Discovery

Information Storage and Retrieval

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Multi-Objective Test Recommendation for Adaptive Learning -- Handling Dropouts in Federating Learning with Personal Data Management Systems -- ANTM: Aligned Neural Topic Models for Exploring Evolving Topics -- A Data-Driven Model Selection Approach to Spatio-Temporal Prediction -- Optimistic Data Generation for JSON Schema.

Sommario/riassunto

The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systemsfocuses 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 maindriving force behind application development in all domains. An increase in the demand forresource sharing across different sites connected through networks has led to an evolution ofdata- and knowledge-management



systems from centralized systems to decentralized systemsenabling large-scale distributed applications providing high scalability. This, the 56th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems,contains five fully revised and extended papers selected from the 39th conference on DataManagement - Principles, Technologies and Applications, BDA 2023. The topics cover awide range of timely data management research topics on adaptive learning, personal datamanagement systems, topic discovery in large corpora, spatio-temporal query processing, anddata generation.