Mining Data for Financial Applications e-bog
473,39 DKK
(inkl. moms 591,74 DKK)
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-min...
E-bog
473,39 DKK
Forlag
Springer
Udgivet
14 januar 2021
Genrer
Educational equipment and technology, computer-aided learning (CAL)
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783030669812
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."e;Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets"e; and "e;Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting"e; are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.