Ricard Gavaldà

João Gama

Giuseppe Manco

Albrecht Zimmermann

Donato Malerba

Michelangelo Ceci

Michael Kamp

Peter Christen

Zbigniew W. Ras

Elio Masciari

Przemyslaw Biecek

Corrado Loglisci

Riccardo Guidotti

Anna Monreale

Annalisa Appice

Jon Atle Gulla

Erich Schubert

Irena Koprinska

Luiza Antonie

Özlem Özgöbek

Rita P. Ribeiro

Linara Adilova

Yamuna Krishnamurthy

Pedro M. Ferreira

Ibéria Medeiros

Eirini Ntoutsi

Arthur Zimek

Salvatore Rinzivillo

Benjamin Kille

Andreas Lommatzsch

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.

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

ECML PKDD 2020 Workshops

Vijayan Sugumaran

The rapid advancement of semantic web technologies, along with the fact that they are at various levels of maturity, has left many practitioners confused about the current state of these technologies. Focusing on the most mature technologies, Applied Semantic Web Technologies integrates theory with case studies to illustrate the history, current st

Applied Semantic Web Technologies

Jon Atle Gulla

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