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

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

  • Book
  • © 2020

Overview

Editors:
  1. Abdelkader Hameurlain

    1. IRIT, Paul Sabatier University, Toulouse, France

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  2. A Min Tjoa

    1. Vienna University of Technology, Wien, Austria

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  3. Philippe Lamarre

    1. INSA Lyon, LIRIS, Villeurbanne Cedex, France

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  4. Karine Zeitouni

    1. University of Versailles Saint-Quentin-en-Yvelines, Versailles Cedex, France

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  • Focuses on hot topics in the field of data management
  • Topics range from big data to secure distributed computing and data mining for recommendation systems
  • Contains revised and extended versions of papers presented at BDA 2019

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12380)

Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)

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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 (e.g., computing resources, services, metadata, data sources) 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 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management – Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow execution in the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.


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Table of contents (6 chapters)

  1. Front Matter

    Pages i-vii
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  2. Scalable Saturation of Streaming RDF Triples

    • Mohammad Amin Farvardin, Dario Colazzo, Khalid Belhajjame, Carlo Sartiani
    Pages 1-40

  3. Efficient Execution of Scientific Workflows in the Cloud Through Adaptive Caching

    • Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez
    Pages 41-66

  4. From Task Tuning to Task Assignment in Privacy-Preserving Crowdsourcing Platforms

    • Joris Duguépéroux, Tristan Allard
    Pages 67-107

  5. Secure Distributed Queries over Large Sets of Personal Home Boxes

    • Riad Ladjel, Nicolas Anciaux, Philippe Pucheral, Guillaume Scerri
    Pages 108-131

  6. Evaluating Classification Feasibility Using Functional Dependencies

    • Marie Le Guilly, Jean-Marc Petit, Vasile-Marian Scuturici
    Pages 132-159

  7. Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers

    • Idir Benouaret, Sihem Amer-Yahia, Senjuti Basu Roy, Christiane Kamdem-Kengne, Jalil Chagraoui
    Pages 160-193

  8. Back Matter

    Pages 195-195
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Editors and Affiliations

  • IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  • Vienna University of Technology, Wien, Austria

    A Min Tjoa

  • INSA Lyon, LIRIS, Villeurbanne Cedex, France

    Philippe Lamarre

  • University of Versailles Saint-Quentin-en-Yvelines, Versailles Cedex, France

    Karine Zeitouni

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