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Mining Data for Financial Applications : 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers / edited by Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

View online
Format:
Book
Contributor:
Bitetta, Valerio, Editor.
Bordino, Ilaria., Editor.
Ferretti, Andrea, Editor.
Gullo, Francesco, Editor.
Ponti, Giovanni., Editor.
Severini, Lorenzo., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12591
Lecture Notes in Artificial Intelligence, 2945-9141 ; 12591
Language:
English
Subjects (All):
Artificial intelligence.
Education-Data processing.
Social sciences-Data processing.
Application software.
Data mining.
Computer engineering.
Computer networks.
Artificial Intelligence.
Computers and Education.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Computer Engineering and Networks.
Local Subjects:
Artificial Intelligence.
Computers and Education.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Computer Engineering and Networks.
Physical Description:
1 online resource (X, 151 pages) : 64 illustrations, 50 illustrations in color.
Edition:
1st edition 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-030-66981-2
9783030669812
Access Restriction:
Restricted for use by site license.

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