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Mining Data for Financial Applications
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Mining Data for Financial Applications

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

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.
Release date Australia
January 15th, 2021
Contributors
  • Edited by Andrea Ferretti
  • Edited by Francesco Gullo
  • Edited by Giovanni Ponti
  • Edited by Ilaria Bordino
  • Edited by Lorenzo Severini
  • Edited by Valerio Bitetta
Pages
151
Edition
1st ed. 2021
Audience
  • Professional & Vocational
Illustrations
50 Illustrations, color; 14 Illustrations, black and white; X, 151 p. 64 illus., 50 illus. in color.
ISBN-13
9783030669805
Product ID
34316705

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