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Mining Data for Financial Applications

by Andrea Ferretti , Francesco Gullo , Giovanni Ponti , Ilaria Bordino , Lorenzo Severini , Valerio Bitetta

๐Ÿ“– The Scoop

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.

โ€œInformation Extraction from the GDELT Database to Analyse EU Sovereign Bond Marketsโ€ and โ€œExploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecastingโ€ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Genre: Computers / Artificial Intelligence / General (fancy, right?)

๐Ÿค–Next read AI recommendation

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