Mining Data for Financial Applications - Lecture Notes in Computer Science
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(FIVE YEARS 11)

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(FIVE YEARS 1)

Published By Springer International Publishing

9783030377199, 9783030377205

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Mining Business Relationships from Stocks and News

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_6 ◽

2020 ◽

pp. 70-84

Author(s):

Thomas Kellermeier ◽

Tim Repke ◽

Ralf Krestel

Keyword(s):

Business Relationships

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Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_5 ◽

2020 ◽

pp. 60-69

Author(s):

Argimiro Arratia ◽

Eduardo Sepúlveda

Keyword(s):

Neural Networks ◽

Time Series ◽

Convolutional Neural Networks ◽

Image Recognition ◽

Financial Time Series ◽

Time Series Forecasting ◽

Financial Time

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A Brand Scoring System for Cryptocurrencies Based on Social Media Data

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_11 ◽

2020 ◽

pp. 127-132

Author(s):

Giuseppe Santomauro ◽

Daniela Alderuccio ◽

Fiorenzo Ambrosino ◽

Andrea Fronzetti Colladon ◽

Silvio Migliori

Keyword(s):

Social Media ◽

Scoring System ◽

Social Media Data ◽

Media Data

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Big Data Financial Sentiment Analysis in the European Bond Markets

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_10 ◽

2020 ◽

pp. 122-126

Author(s):

Luca Tiozzo Pezzoli ◽

Sergio Consoli ◽

Elisa Tosetti

Keyword(s):

Big Data ◽

Sentiment Analysis ◽

Bond Markets

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MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_1 ◽

2020 ◽

pp. 1-15

Author(s):

Jeremy Charlier ◽

Gaston Ormazabal ◽

Radu State ◽

Jean Hilger

Keyword(s):

Optimal Policy ◽

Retail Banking ◽

Money Management ◽

Q Learning

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Firms Default Prediction with Machine Learning

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_4 ◽

2020 ◽

pp. 47-59

Author(s):

Tesi Aliaj ◽

Aris Anagnostopoulos ◽

Stefano Piersanti

Keyword(s):

Machine Learning ◽

Default Prediction

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Monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_8 ◽

2020 ◽

pp. 101-106

Author(s):

Luca Barbaglia ◽

Sergio Consoli ◽

Sebastiano Manzan

Keyword(s):

Business Cycle ◽

Fine Grained ◽

The Business Cycle

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Curriculum Learning in Deep Neural Networks for Financial Forecasting

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_2 ◽

2020 ◽

pp. 16-31

Author(s):

Allison Koenecke ◽

Amita Gajewar

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Financial Forecasting

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Multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_9 ◽

2020 ◽

pp. 107-121

Author(s):

Xiangru Fan ◽

Xiaoqian Wei ◽

Di Wang ◽

Wen Zhang ◽

Wu Qi

Keyword(s):

Financial Asset ◽

Return Volatility ◽

Sequential Model ◽

Asset Return

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Mining Financial Risk Events from News and Assessing their Impact on Stocks

Mining Data for Financial Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37720-5_7 ◽

2020 ◽

pp. 85-100 ◽

Cited By ~ 1

Author(s):

Saumya Bhadani ◽

Ishan Verma ◽

Lipika Dey

Keyword(s):

Financial Risk

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Mining Data for Financial Applications - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Mining Business Relationships from Stocks and News

Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting

A Brand Scoring System for Cryptocurrencies Based on Social Media Data

Big Data Financial Sentiment Analysis in the European Bond Markets

MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning

Firms Default Prediction with Machine Learning

Monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News

Curriculum Learning in Deep Neural Networks for Financial Forecasting

Multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model

Mining Financial Risk Events from News and Assessing their Impact on Stocks

Mining Data for Financial Applications - Lecture Notes in Computer Science
Latest Publications