iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://www.springer.com/book/9783662696026
Transactions on Large-Scale Data- and Knowledge-Centered Systems LVI: Special Issue on Data Management - Principles, Technologies, and Applications | SpringerLink
Skip to main content

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

Special Issue on Data Management - Principles, Technologies, and Applications

  • Book
  • © 2024

Overview

  • Covers data management from edge to cloud
  • Focusses on topic discovery in large corpora and spatio-temporal query processing
  • Touches on topics such as adaptive learning and personal data management systems

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14790)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

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.

Keywords

Table of contents (5 chapters)

Editors and Affiliations

  • IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  • Technical University of Vienna, Vienna, Austria

    A Min Tjoa

  • Inria and LIRMM, Montpellier, France

    Reza Akbarinia

  • Claude Bernard Lyon 1 University and Institut Universitaire de France, Villeurbanne, France

    Angela Bonifati

Bibliographic Information

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

  • Book Subtitle: Special Issue on Data Management - Principles, Technologies, and Applications

  • Editors: Abdelkader Hameurlain, A Min Tjoa, Reza Akbarinia, Angela Bonifati

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-662-69603-3

  • 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 2024

  • Softcover ISBN: 978-3-662-69602-6Published: 21 July 2024

  • eBook ISBN: 978-3-662-69603-3Published: 20 July 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: IX, 153

  • Number of Illustrations: 7 b/w illustrations, 57 illustrations in colour

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

Publish with us