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

  • Book
  • © 2023

Overview

  • 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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14280)

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About this book

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 55th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised regular papers covering a wide range of very hot topics in the fields of data driven science life science, workflows, weak signals, online social networks, root cause analysis, detected anomalies, analysis of interplanetary file systems, concept weighting in knowledge graphs,and neural networks.

Keywords

Table of contents (5 chapters)

Editors and Affiliations

  • Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  • Technische Universität Wien, Wien, Austria

    A Min Tjoa

Bibliographic Information

  • Book Title: Transactions on Large-Scale Data- and Knowledge-Centered Systems LV

  • Editors: Abdelkader Hameurlain, A Min Tjoa

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-662-68100-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2023

  • Softcover ISBN: 978-3-662-68099-5Published: 29 September 2023

  • eBook ISBN: 978-3-662-68100-8Published: 27 September 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: IX, 127

  • Number of Illustrations: 10 b/w illustrations, 39 illustrations in colour

  • Topics: Computer Applications, Data Mining and Knowledge Discovery, Information Storage and Retrieval

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