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.
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.
![Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers
![Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers
eBook(1st ed. 2021)
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Product Details
ISBN-13: | 9783030669812 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 01/14/2021 |
Series: | Lecture Notes in Computer Science , #12591 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 14 MB |
Note: | This product may take a few minutes to download. |