Christopher Buckley

Giovanni Ponti

Andrea Ferretti

Valerio Bitetta

Lorenzo Severini

Francesco Gullo

Ilaria Bordino

Ricard Gavaldà

João Gama

Donato Malerba

Min Zhou

Rita Ribeiro

Philippe Fournier-Viger

Massimiliano Ruocco

Michael Kamp

Lee Cooper

Przemyslaw Biecek

Sebastian Ventura

Mykola Pechenizkiy

Riccardo Guidotti

Anna Monreale

Christine Largeron

Jefrey Lijffijt

Irena Koprinska

Linara Adilova

Yamuna Krishnamurthy

Pedro M. Ferreira

Ibéria Medeiros

Eirini Ntoutsi

Salvatore Rinzivillo

Pablo Lanillos

Bodo Rosenhahn

Holger Fröning

Damian Roqueiro

Gregor Schiele

Franz Pernkopf

Michaela Blott

Giuseppina Andresini

Guilherme Graça

Naghmeh Ghazaleh

Jonas Richiardi

Konstantinos Sechidis

Benoît Frénay

Bo Kang

Tiphaine Viard

Pascal Welke

Erlend Aune

Claudio Gallicchio

Adrien Bibal

Tassadit Bouadi

Luis Galárraga

José Oramas

Günther Schindler

Daniela Cialfi

Maxwell Ramstead

Tim Verbelen

M. Saqib Nawaz

Meng Sun

Diego Saldana Miranda

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLiSE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (SoGood 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)

International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I

This book constitutes revised selected papers from the 5th Workshop on Mining Data for Financial Applications, MIDAS 2020, held in conjunction with ECML PKDD 2020, in Ghent, Belgium, in September 2020.* The 8 full and 3 short papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with challenges, potentialities, and applications of leveraging data-mining tasks regarding problems in the financial domain. *The workshop was held virtually due to the COVID-19 pandemic. “Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets” and “Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

Mining Data for Financial Applications

Andrea Ferretti

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