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  • © 2020

ECML PKDD 2020 Workshops

Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14–18, 2020, Proceedings

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Conference proceedings info: ECML PKDD 2020.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xv
  2. Fifth Workshop on Data Science for Social Good (SoGood 2020)

    1. Front Matter

      Pages 1-7
    2. On Modeling Labor Markets for Fine-Grained Insights

      • Hendrik Santoso Sugiarto, Ee-Peng Lim
      Pages 9-25
    3. Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks

      • Juan de Benedetti, Namir Oues, Zhenchen Wang, Puja Myles, Allan Tucker
      Pages 38-47
    4. Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease

      • Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, Arianna Dagliani, John Holmes, Allan Tucker
      Pages 48-61
    5. Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org

      • Soumajyoti Sarkar, Hamidreza Alvari
      Pages 75-91
  3. Workshop on Parallel, Distributed and Federated Learning (PDFL 2020)

    1. Front Matter

      Pages 109-111
    2. Resource-Constrained On-Device Learning by Dynamic Averaging

      • Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
      Pages 129-144
  4. Second Workshop on Machine Learning for Cybersecurity (MLCS 2020)

    1. Front Matter

      Pages 145-147
    2. MitM Attack Detection in BLE Networks Using Reconstruction and Classification Machine Learning Techniques

      • Abdelkader Lahmadi, Alexis Duque, Nathan Heraief, Julien Francq
      Pages 149-164
    3. Advocating for Multiple Defense Strategies Against Adversarial Examples

      • Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne
      Pages 165-177
    4. Hybrid Connection and Host Clustering for Community Detection in Spatial-Temporal Network Data

      • Mark Patrick Roeling, Azqa Nadeem, Sicco Verwer
      Pages 178-204
    5. Collaborative Learning Based Effective Malware Detection System

      • Narendra Singh, Harsh Kasyap, Somanath Tripathy
      Pages 205-219
  5. Ninth International Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2020)

    1. Front Matter

      Pages 221-224
    2. Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs

      • Michelangelo Ceci, Angelo Impedovo, Antonio Pellicani
      Pages 237-248

About this book

This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2020. Due to the COVID-19 pandemic the conference and workshops were held online. 

The 43 papers presented in volume were carefully reviewed and selected from numerous submissions. The volume presents the papers that have been accepted for the following workshops: 5th Workshop on Data Science for Social Good, SoGood 2020; Workshop on Parallel, Distributed and Federated Learning, PDFL 2020; Second Workshop on Machine Learning for Cybersecurity, MLCS 2020, 9th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2020, Workshop on Data Integration and Applications, DINA 2020, Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, EDML 2020, Second  International Workshop  on  eXplainable  Knowledge  Discovery in  Data Mining, XKDD 2020; 8th International Workshop on News Recommendation and Analytics, INRA 2020. 


The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons Attribution 4.0 International License.


Editors and Affiliations

  • University of Sydney, Sydney, Australia

    Irena Koprinska

  • Monash University, Clayton, Australia

    Michael Kamp

  • University of Bari Aldo Moro, Bari, Italy

    Annalisa Appice, Corrado Loglisci, Donato Malerba, Michelangelo Ceci

  • University of Guelph, Guelph, Canada

    Luiza Antonie

  • University of Caen Normandy, Caen, France

    Albrecht Zimmermann

  • University of Pisa, Pisa, Italy

    Riccardo Guidotti, Anna Monreale

  • Norwegian University of Science and Technology, Trondheim, Norway

    Özlem Özgöbek, Jon Atle Gulla

  • University of Porto, Porto, Portugal

    Rita P. Ribeiro, João Gama

  • UPC BarcelonaTech, Barcelona, Spain

    Ricard Gavaldà

  • Fraunhofer IAIS, St. Augustin, Germany

    Linara Adilova

  • Royal Holloway University of London, Egham, UK

    Yamuna Krishnamurthy

  • University of Lisbon, Lisbon, Portugal

    Pedro M. Ferreira, Ibéria Medeiros

  • ICAR-CNR, Rende, Italy

    Giuseppe Manco

  • University of Naples Federico II, Naples, Italy

    Elio Masciari

  • University of North Carolina, Charlotte, USA

    Zbigniew W. Ras

  • Australian National University, Canberra, Australia

    Peter Christen

  • Leibniz University Hannover, Hannover, Germany

    Eirini Ntoutsi

  • Technical University of Dortmund, Dortmund, Germany

    Erich Schubert

  • University of Southern Denmark, Odense, Denmark

    Arthur Zimek

  • Warsaw University of Technology, Warsaw, Poland

    Przemyslaw Biecek

  • ISTI-CNR, PISA, Italy

    Salvatore Rinzivillo

  • Berlin Institute of Technology, Berlin, Germany

    Benjamin Kille, Andreas Lommatzsch

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
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