Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers - Couverture souple

 
9783030669805: Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers
Couverture souple
ISBN 10 : 3030669807 ISBN 13 : 9783030669805
Editeur : Springer, 2021

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2021
Langue
anglais
ISBN 10 
3030669807
ISBN 13 
9783030669805
Reliure
Broché
Numéro d'édition
1
Nombre de pages
164
Éditeur
Bitetta Valerio, Bordino Ilaria, Ferretti Andrea, Gullo Francesco, Ponti Giovanni, Severini Lorenzo
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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