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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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Irena Koprinska

    1. University of Sydney, Sydney, Australia

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  2. Michael Kamp

    1. Monash University, Clayton, Australia

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  3. Annalisa Appice

    1. University of Bari Aldo Moro, Bari, Italy

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  4. Corrado Loglisci

    1. University of Bari Aldo Moro, Bari, Italy

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  5. Luiza Antonie

    1. University of Guelph, Guelph, Canada

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  6. Albrecht Zimmermann

    1. University of Caen Normandy, Caen, France

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  7. Riccardo Guidotti

    1. University of Pisa, Pisa, Italy

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  8. Özlem Özgöbek

    1. Norwegian University of Science and Technology, Trondheim, Norway

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  9. Rita P. Ribeiro

    1. University of Porto, Porto, Portugal

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  10. Ricard Gavaldà

    1. UPC BarcelonaTech, Barcelona, Spain

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  11. João Gama

    1. University of Porto, Porto, Portugal

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  12. Linara Adilova

    1. Fraunhofer IAIS, St. Augustin, Germany

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  13. Yamuna Krishnamurthy

    1. Royal Holloway University of London, Egham, UK

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  14. Pedro M. Ferreira

    1. University of Lisbon, Lisbon, Portugal

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  15. Donato Malerba

    1. University of Bari Aldo Moro, Bari, Italy

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  16. Ibéria Medeiros

    1. University of Lisbon, Lisbon, Portugal

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  17. Michelangelo Ceci

    1. University of Bari Aldo Moro, Bari, Italy

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  18. Giuseppe Manco

    1. ICAR-CNR, Rende, Italy

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  19. Elio Masciari

    1. University of Naples Federico II, Naples, Italy

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  20. Zbigniew W. Ras

    1. University of North Carolina, Charlotte, USA

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  21. Peter Christen

    1. Australian National University, Canberra, Australia

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  22. Eirini Ntoutsi

    1. Leibniz University Hannover, Hannover, Germany

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  23. Erich Schubert

    1. Technical University of Dortmund, Dortmund, Germany

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  24. Arthur Zimek

    1. University of Southern Denmark, Odense, Denmark

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  25. Anna Monreale

    1. University of Pisa, Pisa, Italy

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  26. Przemyslaw Biecek

    1. Warsaw University of Technology, Warsaw, Poland

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  27. Salvatore Rinzivillo

    1. ISTI-CNR, PISA, Italy

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  28. Benjamin Kille

    1. Berlin Institute of Technology, Berlin, Germany

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  29. Andreas Lommatzsch

    1. Berlin Institute of Technology, Berlin, Germany

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  30. Jon Atle Gulla

    1. Norwegian University of Science and Technology, Trondheim, Norway

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1323)

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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
    Download chapter PDF

  2. Fifth Workshop on Data Science for Social Good (SoGood 2020)

    1. Front Matter

      Pages 1-7
      Download chapter PDF

    2. On Modeling Labor Markets for Fine-Grained Insights

      • Hendrik Santoso Sugiarto, Ee-Peng Lim
      Pages 9-25

    3. Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications

      • Benjamin C. Evans, Allan Tucker, Oliver R. Wearn, Chris Carbone
      Pages 26-37

    4. Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks

      • Juan de Benedetti, Namir Oues, Zhenchen Wang, Puja Myles, Allan Tucker
      Pages 38-47

    5. 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

    6. Data Decomposition Based Learning for Load Time-Series Forecasting

      • Jatin Bedi, Durga Toshniwal
      Pages 62-74

    7. Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org

      • Soumajyoti Sarkar, Hamidreza Alvari
      Pages 75-91

    8. A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice

      • Fabio Massimo Zennaro
      Pages 92-107

  3. Workshop on Parallel, Distributed and Federated Learning (PDFL 2020)

    1. Front Matter

      Pages 109-111
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    2. Knowledge Discovery on Blockchains: Challenges and Opportunities for Distributed Event Detection Under Constraints

      • Cedric Sanders, Thomas Liebig
      Pages 113-128

    3. 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
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    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
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    2. A Hybrid Recommendation System Based on Bidirectional Encoder Representations

      • Irem Islek, Sule Gunduz Oguducu
      Pages 225-236

    3. Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs

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

  1. Machine Learning and Knowledge Discovery in Databases

  2. Machine Learning and Knowledge Discovery in Databases

  3. Machine Learning and Knowledge Discovery in Databases

  4. Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

  5. Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

  6. ECML PKDD 2020 Workshops

Keywords

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

  • Book Title: ECML PKDD 2020 Workshops

  • Book Subtitle: 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

  • Editors: Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, … Jon Atle Gulla

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-030-65965-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-65964-6Published: 02 February 2021

  • eBook ISBN: 978-3-030-65965-3Published: 01 February 2021

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XV, 614

  • Number of Illustrations: 34 b/w illustrations, 153 illustrations in colour

  • Topics: Artificial Intelligence, Information Systems and Communication Service, Computer Applications, Computing Milieux, Computer Communication Networks

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