Skip to main content
Springer Nature Link
Log in

Big Data Analytics and Knowledge Discovery

23rd International Conference, DaWaK 2021, Virtual Event, September 27–30, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Matteo Golfarelli

    1. University of Bologna, Bologna, Forli/Cesena, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Robert Wrembel

    1. Poznań University of Technology, Poznan, Poland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Gabriele Kotsis

    1. Johannes Kepler University Linz, Linz, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. A Min Tjoa

    1. TU Wien, Vienna, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Ismail Khalil

    1. Johannes Kepler University Linz, Linz, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12925)

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

Included in the following conference series:

Conference proceedings info: DaWaK 2021.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually.
The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions.
The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.

Similar content being viewed by others

Keywords

Table of contents (27 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Performance

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Bounding Box Representation of Co-location Instances for \(L_{\infty }\) Induced Distance Measure

      • Witold Andrzejewski, Pawel Boinski
      Pages 3-14

    3. Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench

      • Pegdwendé N. Sawadogo, Jérôme Darmont
      Pages 15-26

    4. Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL

      • Soumia Benkrid, Ladjel Bellatreche, Yacine Mestoui, Carlos Ordonez
      Pages 27-38

    5. Selecting Subexpressions to Materialize for Dynamic Large-Scale Workloads

      • Mustapha Chaba Mouna, Ladjel Bellatreche, Narhimene Boustia
      Pages 39-51

  3. Prediction Techniques

    1. Front Matter

      Pages 53-53
      Download chapter PDF

    2. A Chain Composite Item Recommender for Lifelong Pathways

      • Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T’Kindt
      Pages 55-66

    3. Health Analytics on COVID-19 Data with Few-Shot Learning

      • Carson K. Leung, Daryl L. X. Fung, Calvin S. H. Hoi
      Pages 67-80

    4. Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory

      • Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu et al.
      Pages 81-93

  4. Knowledge Representation

    1. Front Matter

      Pages 95-95
      Download chapter PDF

    2. Universal Storage Adaption for Distributed RDF-Triple Stores

      • Ahmed Al-Ghezi, Lena Wiese
      Pages 97-108

    3. RDF Data Management is an Analytical Market, not a Transaction One

      • Olivier Curé, Christophe Callé, Philippe Calvez
      Pages 109-115

    4. Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank

      • Iqra Muhammad, Danushka Bollegala, Frans Coenen, Carrol Gamble, Anna Kearney, Paula Williamson
      Pages 116-127

  5. Advanced Analytics

    1. Front Matter

      Pages 129-129
      Download chapter PDF

    2. Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models

      • Jithesh Gugan Sreeram, Xiao Luo, Renran Tian
      Pages 131-136

    3. Spark Based Text Clustering Method Using Hashing

      • Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N’Cir, Nadia Essoussi
      Pages 137-142

    4. Impact of Textual Data Augmentation on Linguistic Pattern Extraction to Improve the Idiomaticity of Extractive Summaries

      • Abdelghani Laifa, Laurent Gautier, Christophe Cruz
      Pages 143-151

    5. Explainability in Irony Detection

      • Ege Berk Buyukbas, Adnan Harun Dogan, Asli Umay Ozturk, Pinar Karagoz
      Pages 152-157

    6. Efficient Graph Analytics in Python for Large-Scale Data Science

      • Xiantian Zhou, Carlos Ordonez
      Pages 158-164
Back to top

Other volumes

  1. Big Data Analytics and Knowledge Discovery

Editors and Affiliations

  • University of Bologna, Bologna, Forli/Cesena, Italy

    Matteo Golfarelli

  • Poznań University of Technology, Poznan, Poland

    Robert Wrembel

  • Johannes Kepler University Linz, Linz, Austria

    Gabriele Kotsis, Ismail Khalil

  • TU Wien, Vienna, Austria

    A Min Tjoa

Bibliographic Information

Publish with us

Policies and ethics

Back to top