Mining Data for Financial Applications

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Mining Data for Financial Applications

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

Educational equipment and technology, computer-aided learning (CAL) Computer hardware Data mining Applied computing Computer applications in the social and behavioural sciences Artificial intelligence Expert systems / knowledge-based systems

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Collection: Lecture Notes in Computer Science

Language: English

Published by: Springer

Published on: 14th January 2021

Format: LCP-protected ePub

Size: 12 Mb

ISBN: 9783030669812


Workshop and Publication Details

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 workshop was held virtually due to the COVID-19 pandemic.

Content and Selection

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.

Open Access Articles

“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.

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