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  • Conference proceedings
  • © 2023

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II

Editors:

  1. Irena Koprinska

    1. University of Sydney, Sydney, Australia

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  2. Paolo Mignone

    1. University of Bari Aldo Moro, Bari, Italy

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  3. Riccardo Guidotti

    1. University of Pisa, Pisa, Italy

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  4. Szymon Jaroszewicz

    1. Warsaw University of Technology, Warsaw, Poland

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  5. Holger Fröning

    1. Heidelberg University, Heidelberg, Germany

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  6. Francesco Gullo

    1. UniCredit, Rome, Italy

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  7. Pedro M. Ferreira

    1. University of Lisbon, Lisbon, Portugal

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  8. Damian Roqueiro

    1. Roche, Basel, Switzerland

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  9. Gaia Ceddia

    1. Barcelona Supercomputing Center, Barcelona, Spain

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  10. Slawomir Nowaczyk

    1. Halmstad University, Halmstad, Sweden

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  11. João Gama

    1. University of Porto, Porto, Portugal

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  12. Rita Ribeiro

    1. University of Porto, Porto, Portugal

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  13. Ricard Gavaldà

    1. UPC BarcelonaTech, Barcelona, Spain

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  14. Elio Masciari

    1. University of Naples Federico II, Naples, Italy

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  15. Zbigniew Ras

    1. University of North Carolina, Charlotte, USA

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  16. Ettore Ritacco

    1. ICAR-CNR, Rende, Italy

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  17. Francesca Naretto

    1. University of Pisa, Pisa, Italy

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  18. Andreas Theissler

    1. Aalen University of Applied Sciences, Aalen, Germany

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  19. Przemyslaw Biecek

    1. Warsaw University of Technology, Warszaw, Poland

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  20. Wouter Verbeke

    1. KU Leuven, Leuven, Belgium

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  21. Gregor Schiele

    1. University of Duisburg-Essen, Essen, Germany

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  22. Franz Pernkopf

    1. Graz University of Technology, Graz, Austria

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  23. Michaela Blott

    1. AMD, Dublin, Ireland

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  24. Ilaria Bordino

    1. UniCredit, Rome, Italy

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  25. Ivan Luciano Danesi

    1. UniCredit, Milan, Italy

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  26. Giovanni Ponti

    1. National Agency for New Technologies, Rome, Italy

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  27. Lorenzo Severini

    1. Unicredit, Rome, Italy

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  28. Annalisa Appice

    1. University of Bari Aldo Moro, Bari, Italy

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  29. Giuseppina Andresini

    1. University of Bari Aldo Moro, Bari, Italy

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  30. Ibéria Medeiros

    1. University of Lisbon, Lisbon, Portugal

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  31. Guilherme Graça

    1. University of Lisbon, Lisbon, Portugal

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  32. Lee Cooper

    1. Northwestern University, Chicago, USA

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  33. Naghmeh Ghazaleh

    1. Roche, Basel, Switzerland

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  34. Jonas Richiardi

    1. University of Lausanne, Lausanne, Switzerland

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  35. Diego Saldana

    1. Novartis, Basel, Switzerland

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  36. Konstantinos Sechidis

    1. Novartis, Basel, Switzerland

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  37. Arif Canakoglu

    1. Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy

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  38. Sara Pido

    1. Politecnico di Milano, Milan, Italy

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  39. Pietro Pinoli

    1. Politecnico di Milano, Milan, Italy

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  40. Albert Bifet

    1. University of Waikato, Hamilton, New Zealand

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  41. Sepideh Pashami

    1. Halmstad University, Halmstad, Sweden

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1753)

Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference proceedings info: ECML PKDD 2022.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xix
    PDF

  2. Workshop on Mining Data for Financial Application (MIDAS 2022)

    1. Front Matter

      Pages 1-6
      PDF

    2. Multi-task Learning for Features Extraction in Financial Annual Reports

      • Syrielle Montariol, Matej Martinc, Andraž Pelicon, Senja Pollak, Boshko Koloski, Igor Lončarski et al.
      Pages 7-24

    3. What to Do with Your Sentiments in Finance

      • Argimiro Arratia
      Pages 25-37

    4. On the Development of a European Tracker of Societal Issues and Economic Activities Using Alternative Data

      • Sergio Consoli, Marco Colagrossi, Francesco Panella, Luca Barbaglia
      Pages 38-43Open Access

    5. Privacy-Preserving Machine Learning in Life Insurance Risk Prediction

      • Klismam Pereira, João Vinagre, Ana Nunes Alonso, Fábio Coelho, Melânia Carvalho
      Pages 44-52

    8. Towards Explainable Occupational Fraud Detection

      • Julian Tritscher, Daniel Schlör, Fabian Gwinner, Anna Krause, Andreas Hotho
      Pages 79-96

    9. Towards Data-Driven Volatility Modeling with Variational Autoencoders

      • Thomas Dierckx, Jesse Davis, Wim Schoutens
      Pages 97-111

    10. Auto-clustering of Financial Reports Based on Formatting Style and Author’s Fingerprint

      • Braulio C. Blanco Lambruschini, Mats Brorsson, Maciej Zurad
      Pages 112-127

  3. Workshop on Machine Learning for Cybersecurity (MLCS 2022)

    1. Front Matter

      Pages 139-142
      PDF

    2. Intrusion Detection Using Ensemble Models

      • Tina Yazdizadeh, Shabnam Hassani, Paula Branco
      Pages 143-158

    4. Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA

      • Katarzyna Wasielewska, Dominik Soukup, Tomáš Čejka, José Camacho
      Pages 170-185

    5. Towards a General Model for Intrusion Detection: An Exploratory Study

      • Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
      Pages 186-201

  4. Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022)

    1. Front Matter

      Pages 203-206
      PDF

    2. Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation

      • Mohamed Alami C., Jérémie Decock, Rim kaddah, Jesse Read
      Pages 207-222

    3. Domestic Hot Water Forecasting for Individual Housing with Deep Learning

      • Paul Compagnon, Aurore Lomet, Marina Reyboz, Martial Mermillod
      Pages 223-235
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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

  5. Machine Learning and Knowledge Discovery in Databases

  6. Machine Learning and Knowledge Discovery in Databases

  7. Machine Learning and Principles and Practice of Knowledge Discovery in Databases

  8. Machine Learning and Principles and Practice of Knowledge Discovery in Databases

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About this book

This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. 

The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops:


Workshop on Data Science for Social Good (SoGood 2022)


Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)


Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022)


Workshop on Uplift Modeling (UMOD 2022)


Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)


Workshop on Mining Data for Financial Application (MIDAS 2022)



Workshop on Machine Learning for Cybersecurity (MLCS 2022)



Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) 


Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)



Workshop on Data Analysis in Life Science (DALS 2022)



Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)

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Keywords

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Editors and Affiliations

  • University of Sydney, Sydney, Australia

    Irena Koprinska

  • University of Bari Aldo Moro, Bari, Italy

    Paolo Mignone, Annalisa Appice, Giuseppina Andresini

  • University of Pisa, Pisa, Italy

    Riccardo Guidotti, Francesca Naretto

  • Warsaw University of Technology, Warsaw, Poland

    Szymon Jaroszewicz

  • Heidelberg University, Heidelberg, Germany

    Holger Fröning

  • UniCredit, Rome, Italy

    Francesco Gullo, Ilaria Bordino

  • University of Lisbon, Lisbon, Portugal

    Pedro M. Ferreira, Ibéria Medeiros, Guilherme Graça

  • Roche, Basel, Switzerland

    Damian Roqueiro, Naghmeh Ghazaleh

  • Barcelona Supercomputing Center, Barcelona, Spain

    Gaia Ceddia

  • Halmstad University, Halmstad, Sweden

    Slawomir Nowaczyk, Sepideh Pashami

  • University of Porto, Porto, Portugal

    João Gama, Rita Ribeiro

  • UPC BarcelonaTech, Barcelona, Spain

    Ricard Gavaldà

  • University of Naples Federico II, Naples, Italy

    Elio Masciari

  • University of North Carolina, Charlotte, USA

    Zbigniew Ras

  • ICAR-CNR, Rende, Italy

    Ettore Ritacco

  • Aalen University of Applied Sciences, Aalen, Germany

    Andreas Theissler

  • Warsaw University of Technology, Warszaw, Poland

    Przemyslaw Biecek

  • KU Leuven, Leuven, Belgium

    Wouter Verbeke

  • University of Duisburg-Essen, Essen, Germany

    Gregor Schiele

  • Graz University of Technology, Graz, Austria

    Franz Pernkopf

  • AMD, Dublin, Ireland

    Michaela Blott

  • UniCredit, Milan, Italy

    Ivan Luciano Danesi

  • National Agency for New Technologies, Rome, Italy

    Giovanni Ponti

  • Unicredit, Rome, Italy

    Lorenzo Severini

  • Northwestern University, Chicago, USA

    Lee Cooper

  • University of Lausanne, Lausanne, Switzerland

    Jonas Richiardi

  • Novartis, Basel, Switzerland

    Diego Saldana, Konstantinos Sechidis

  • Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy

    Arif Canakoglu

  • Politecnico di Milano, Milan, Italy

    Sara Pido, Pietro Pinoli

  • University of Waikato, Hamilton, New Zealand

    Albert Bifet

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Bibliographic Information

  • Book Title: Machine Learning and Principles and Practice of Knowledge Discovery in Databases

  • Book Subtitle: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II

  • Editors: Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana, Konstantinos Sechidis, Arif Canakoglu, Sara Pido, Pietro Pinoli, Albert Bifet, … Sepideh Pashami

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-031-23633-4

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-23632-7Published: 31 January 2023

  • eBook ISBN: 978-3-031-23633-4Published: 30 January 2023

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XIX, 487

  • Number of Illustrations: 21 b/w illustrations, 111 illustrations in colour

  • Topics: Artificial Intelligence, Computer Communication Networks, Computer Appl. in Social and Behavioral Sciences, Information Systems Applications (incl. Internet), Computers and Education

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Buy it now

eBook USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 89.99
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

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