Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV

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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 54th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains three fully revised and extended papers and two additional extended keynotes selected from the 38th conference on Data Management - Principles, Technologies and Applications, BDA 2022. The topics cover a wide range of timely data management research topics on temporal graph management, tensor-based data mining, time-series prediction, healthcare analytics over knowledge graphs, and explanation of database query answers.



Covers time series management from edge to cloud Discusses the explanation of database query answers Touches on topics such as temporal graph management, tensor-based data mining or time-series prediction

Inhalt

Clock-G: Temporal graph management system.- TSPredIT: Integrated tuning of data preprocessing and time series prediction models.- A guide to the Tucker tensor decomposition for data mining: exploratory analysis, clustering and classification.- Challenges for Healthcare Data Analytics over Knowledge Graphs.- From Database Repairs to Causality in Databases and Beyond.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783662680131
    • Herausgeber Springer
    • Anzahl Seiten 144
    • Lesemotiv Verstehen
    • Genre Software
    • Auflage 1st edition 2023
    • Editor Abdelkader Hameurlain, A Min Tjoa, Omar Boucelma, Farouk Toumani
    • Sprache Englisch
    • Gewicht 230g
    • Untertitel Special Issue on Data Management - Principles, Technologies, and Applications
    • Größe H235mm x B155mm x T9mm
    • Jahr 2023
    • EAN 9783662680131
    • Format Kartonierter Einband
    • ISBN 3662680130
    • Veröffentlichung 22.09.2023
    • Titel Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV

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