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  • © 2016

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

Special Issue on Database- and Expert-Systems Applications

  • Contains revised selected papers from DEXA 2015
  • Focuses on turning big data into big value
  • Topics covered range from efficient graph processing to self-tuning histograms for the Semantic Web
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9940)

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

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Table of contents (6 chapters)

  1. Front Matter

    Pages I-XI
  2. Accelerating Set Similarity Joins Using GPUs

    • Mateus S. H. Cruz, Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa
    Pages 1-22
  3. Divide-and-Conquer Parallelism for Learning Mixture Models

    • Takaya Kawakatsu, Akira Kinoshita, Atsuhiro Takasu, Jun Adachi
    Pages 23-47
  4. Multistore Big Data Integration with CloudMdsQL

    • Carlyna Bondiombouy, Boyan Kolev, Oleksandra Levchenko, Patrick Valduriez
    Pages 48-74
  5. Ontology Matching with Knowledge Rules

    • Shangpu Jiang, Daniel Lowd, Sabin Kafle, Dejing Dou
    Pages 75-95
  6. Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning

    • Debabrota Basu, Qian Lin, Weidong Chen, Hoang Tam Vo, Zihong Yuan, Pierre Senellart et al.
    Pages 96-132
  7. Workload-Aware Self-tuning Histograms for the Semantic Web

    • Katerina Zamani, Angelos Charalambidis, Stasinos Konstantopoulos, Nickolas Zoulis, Effrosyni Mavroudi
    Pages 133-156
  8. Back Matter

    Pages 157-157

About this book

This, the 28th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of six papers presented at the 26th International Conference on Database- and Expert-Systems Applications, DEXA 2015, held in Valencia, Spain, in September 2015. Topics covered include efficient graph processing, machine learning on big data, multistore big data integration, ontology matching, and the optimization of histograms for the Semantic Web.

Editors and Affiliations

  • IRIT, Paul Sabatier University , Toulouse, France

    Abdelkader Hameurlain

  • FAW, University of Linz , Linz, Austria

    Josef Küng, Roland Wagner

  • HP Labs , Sunnyvale, USA

    Qimin Chen

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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