Mining data for financial applications : 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, revised selected papers / Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini (eds.).
2021
QA76.9.D343
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Title
Mining data for financial applications : 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, revised selected papers / Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini (eds.).
Meeting Name
ISBN
3030669815 (electronic book)
9783030669812 (electronic bk.)
9783030669805
3030669807
9783030669812 (electronic bk.)
9783030669805
3030669807
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (x, 151 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-66981-2 doi
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3
Summary
"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.
Note
International conference proceedings. Held virtually September 14-18, 2020.
Bibliography, etc. Note
Includes bibliographical references and author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 3, 2021).
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Added Meeting Name
Series
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 12591.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science ; 12591.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form
Print version: 9783030669805
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Table of Contents
Trade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA)
How much does Stock Prediction improve with Sentiment Analysis?
Applying Machine Learning to Predict Closing Prices in Stock Market: a case study
Financial Fraud Detection with Improved Neural Arithmetic Logic Units
Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets
Multi-Objective Particle Swarm Optimization for Feature Selection in Credit Scoring
A comparative analysis of Temporal Long Text Similarity: Application to Financial Documents
Ranking Cryptocurrencies by Brand Importance: a Social Media Analysis in ENEAGRID
Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods
Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning
Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting.
How much does Stock Prediction improve with Sentiment Analysis?
Applying Machine Learning to Predict Closing Prices in Stock Market: a case study
Financial Fraud Detection with Improved Neural Arithmetic Logic Units
Information Extraction from the GDELT Database to Analyse EU Sovereign Bond Markets
Multi-Objective Particle Swarm Optimization for Feature Selection in Credit Scoring
A comparative analysis of Temporal Long Text Similarity: Application to Financial Documents
Ranking Cryptocurrencies by Brand Importance: a Social Media Analysis in ENEAGRID
Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods
Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning
Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting.