TY  - GEN
AB  - "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.
AU  - Bitetta, Valerio,
AU  - Bordino, Ilaria,
AU  - Ferretti, Andrea,
AU  - Gullo, Francesco,
AU  - Ponti, Giovanni,
AU  - Severini, Lorenzo,
CN  - QA76.9.D343
DO  - 10.1007/978-3-030-66981-2
DO  - doi
ID  - 1434220
KW  - Data mining
KW  - Finance
KW  - Data protection
KW  - Big data
KW  - Artificial intelligence.
KW  - Education
KW  - Application software.
KW  - Data mining.
KW  - Computer organization.
KW  - Exploration de données (Informatique)
KW  - Finances
KW  - Protection de l'information (Informatique)
KW  - Données volumineuses
KW  - Intelligence artificielle.
KW  - Éducation
KW  - Logiciels d'application.
KW  - Exploration de données (Informatique)
KW  - Ordinateurs
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66981-2
N1  - International conference proceedings. Held virtually September 14-18, 2020.
N2  - "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.
SN  - 3030669815
SN  - 9783030669812
T1  - Mining data for financial applications :5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, revised selected papers /
TI  - Mining data for financial applications :5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, revised selected papers /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66981-2
VL  - 12591
ER  -