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

Special Issue on Database- and Expert-Systems Applications

  • Book
  • © 2018

Overview

Editors:
  1. Abdelkader Hameurlain

    1. IRIT, Paul Sabatier University, Toulouse, France

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  2. Roland Wagner

    1. FAW, University of Linz, Linz, Austria

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  3. Djamal Benslimane

    1. IUT, University Lyon 1, Villeurbanne Cedex, France

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  4. Ernesto Damiani

    1. University of Milan, Crema, Italy

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  5. William I. Grosky

    1. University of Michigan-Dearborn, Dearborn, USA

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  • Contains revised and extended versions of the best seven papers presented at DEXA 2017
  • Covers a wide range of database- and expert-systems applications
  • Topics include knowledge bases, clustering algorithms, parallel frequent itemset mining, model-driven engineering, virtual machines, recommendation systems, and federated SPARQL query processing

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11310)

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

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-IX
    Download chapter PDF

  2. Querying Interlinked Data by Bridging RDF Molecule Templates

    • Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer
    Pages 1-42

  3. A Package-to-Group Recommendation Framework

    • Idir Benouaret, Dominique Lenne
    Pages 43-66

  4. Statistical Relation Cardinality Bounds in Knowledge Bases

    • Emir Muñoz, Matthias Nickles
    Pages 67-97

  5. ETL Processes in the Era of Variety

    • Nabila Berkani, Ladjel Bellatreche, Laurent Guittet
    Pages 98-129

  6. eVM: An Event Virtual Machine Framework

    • Elio Mansour, Richard Chbeir, Philippe Arnould
    Pages 130-168

  7. Interactive Exploration of Subspace Clusters on Multicore Processors

    • The Hai Pham, Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo et al.
    Pages 169-199

  8. MapFIM+: Memory Aware Parallelized Frequent Itemset Mining In Very Large Datasets

    • Khanh-Chuong Duong, Mostafa Bamha, Arnaud Giacometti, Dominique Li, Arnaud Soulet, Christel Vrain
    Pages 200-225

  9. Back Matter

    Pages 227-227
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Keywords

About this book

This, the 39th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of seven papers selected from the 37 contributions presented at the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, in August 2017. Topics covered include knowledge bases, clustering algorithms, parallel frequent itemset mining, model-driven engineering, virtual machines, recommendation systems, and federated SPARQL query processing.

Editors and Affiliations

  • IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  • FAW, University of Linz, Linz, Austria

    Roland Wagner

  • IUT, University Lyon 1, Villeurbanne Cedex, France

    Djamal Benslimane

  • University of Milan, Crema, Italy

    Ernesto Damiani

  • University of Michigan-Dearborn, Dearborn, USA

    William I. Grosky

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