Mining Data for Financial Applications (e-bog) af -
Severini, Lorenzo (redaktør)

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
Forfattere Severini, Lorenzo (redaktør)
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.