Mining Data for Financial Applications Mining Data for Financial Applications

Mining Data for Financial Applications

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

Valerio Bitetta and Others
    • 46,99 €
    • 46,99 €

Publisher Description

“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.

GENRE
Computing & Internet
RELEASED
2021
14 January
LANGUAGE
EN
English
LENGTH
161
Pages
PUBLISHER
Springer International Publishing
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
14.2
MB
Machine Learning and Principles and Practice of Knowledge Discovery in Databases Machine Learning and Principles and Practice of Knowledge Discovery in Databases
2022
Machine Learning and Principles and Practice of Knowledge Discovery in Databases Machine Learning and Principles and Practice of Knowledge Discovery in Databases
2022
Mining Data for Financial Applications Mining Data for Financial Applications
2020
ECML PKDD 2018 Workshops ECML PKDD 2018 Workshops
2019