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  • Conference proceedings
  • © 2019

Big Data Analytics and Knowledge Discovery

21st International Conference, DaWaK 2019, Linz, Austria, August 26–29, 2019, Proceedings

Editors:

  1. Carlos Ordonez

    1. University of Houston, Houston, USA

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  2. Il-Yeol Song

    1. Drexel University, Philadelphia, USA

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  3. Gabriele Anderst-Kotsis

    1. Johannes Kepler University of Linz, Linz, Austria

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  4. A Min Tjoa

    1. Software Competence Center Hagenberg, Hagenberg im Mühlkreis, Austria

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  5. Ismail Khalil

    1. Johannes Kepler University of Linz, Linz, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11708)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Conference series link(s): DaWaK: International Conference on Big Data Analytics and Knowledge Discovery

Conference proceedings info: DaWaK 2019.

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Table of contents (22 papers)

  1. Front Matter

    Pages i-xiii
    PDF

  2. Applications

    1. Front Matter

      Pages 1-1
      PDF

    2. Detecting the Onset of Machine Failure Using Anomaly Detection Methods

      • Mohammad Riazi, Osmar Zaiane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett
      Pages 3-12

    3. A Hybrid Architecture for Tactical and Strategic Precision Agriculture

      • Enrico Gallinucci, Matteo Golfarelli, Stefano Rizzi
      Pages 13-23

    4. Urban Analytics of Big Transportation Data for Supporting Smart Cities

      • Carson K. Leung, Peter Braun, Calvin S. H. Hoi, Joglas Souza, Alfredo Cuzzocrea
      Pages 24-33

  3. Patterns

    1. Front Matter

      Pages 35-35
      PDF

    2. Frequent Item Mining When Obtaining Support Is Costly

      • Joe Wing-Ho Lin, Raymond Chi-Wing Wong
      Pages 37-56

    3. Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation

      • Raj Bhatta, C. I. Ezeife, Mahreen Nasir Butt
      Pages 57-72

    4. Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences

      • Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi
      Pages 73-88

    5. Efficient Row Pattern Matching Using Pattern Hierarchies for Sequence OLAP

      • Yuya Nasu, Hiroyuki Kitagawa, Kosuke Nakabasami
      Pages 89-104

    6. Statistically Significant Discriminative Patterns Searching

      • Hoang Son Pham, Gwendal Virlet, Dominique Lavenier, Alexandre Termier
      Pages 105-115

  4. RDF and Streams

    1. Front Matter

      Pages 117-117
      PDF

    2. Multidimensional Integration of RDF Datasets

      • Jam Jahanzeb Khan Behan, Oscar Romero, Esteban Zimányi
      Pages 119-135

    3. RDFPartSuite: Bridging Physical and Logical RDF Partitioning

      • Jorge Galicia, Amin Mesmoudi, Ladjel Bellatreche
      Pages 136-150

    4. Mining Quantitative Temporal Dependencies Between Interval-Based Streams

      • Amine El Ouassouli, Lionel Robinault, Vasile-Marian Scuturici
      Pages 151-165

    5. Democratization of OLAP DSMS

      • Carlos Garcia-Alvarado, Joy Kent, Li Liu, Jay Hum
      Pages 166-175

  5. Big Data Systems

    1. Front Matter

      Pages 177-177
      PDF

    2. Leveraging the Data Lake: Current State and Challenges

      • Corinna Giebler, Christoph Gröger, Eva Hoos, Holger Schwarz, Bernhard Mitschang
      Pages 179-188

    3. SDWP: A New Data Placement Strategy for Distributed Big Data Warehouses in Hadoop

      • Yassine Ramdane, Nadia Kabachi, Omar Boussaid, Fadila Bentayeb
      Pages 189-205
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Other Volumes

  1. Big Data Analytics and Knowledge Discovery

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About this book

This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019.

The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases.

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Keywords

  • artificial intelligence
  • big data
  • big datum
  • cloud computing
  • computer systems
  • data management
  • data mining
  • data warehouses
  • databases
  • MapReduce
  • olap
  • query languages
  • World Wide Web
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Editors and Affiliations

  • University of Houston, Houston, USA

    Carlos Ordonez

  • Drexel University, Philadelphia, USA

    Il-Yeol Song

  • Johannes Kepler University of Linz, Linz, Austria

    Gabriele Anderst-Kotsis, Ismail Khalil

  • Software Competence Center Hagenberg, Hagenberg im Mühlkreis, Austria

    A Min Tjoa

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Bibliographic Information

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Access via your institution
eBook USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-27520-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 69.99
Price excludes VAT (USA)
Learn about institutional subscriptions