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

  • Abdelkader Hameurlain
  • Roland Wagner
Book

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11860)

Also part of the Transactions on Large-Scale Data- and Knowledge-Centered Systems book sub series (TLDKS, volume 11860)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
    Pages 1-24
  3. Éric Leclercq, Annabelle Gillet, Thierry Grison, Marinette Savonnet
    Pages 51-90
  4. Shahram Ghandeharizadeh, Marwan Almaymoni, Haoyu Huang
    Pages 111-134
  5. Back Matter
    Pages 135-135

About this book

Introduction

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. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.

This, the 42nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of five revised selected regular papers, presenting the following topics: Privacy-Preserving Top-k Query Processing in Distributed Systems; Trust Factors and Insider Threats in Permissioned Distributed Ledgers: An Analytical Study and Evaluation of Popular DLT Frameworks; Polystore and Tensor Data Model for Logical Data Independence and Impedance Mismatch in Big Data Analytics; A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence; Rejig: A Scalable Online Algorithm for Cache Server Configuration Changes.

Keywords

antennas artificial intelligence big data big datum caching computer architecture data mining data security impedance matching (electric) Impedance mismatch internet network management network operations privacy privacy preserving Quality of Service (QoS) question answering semantics wireless telecommunication systems World Wide Web

Editors and affiliations

  • Abdelkader Hameurlain
    • 1
  • Roland Wagner
    • 2
  1. 1.IRIT, Paul Sabatier UniversityToulouseFrance
  2. 2.FAW, University of LinzLinzAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-60531-8
  • Copyright Information Springer-Verlag GmbH Germany, part of Springer Nature 2019
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-60530-1
  • Online ISBN 978-3-662-60531-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site