Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry
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Published By Springer International Publishing

9783030644659, 9783030644666

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The Financial Viability of eHealth and mHealth

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry ◽

10.1007/978-3-030-64466-6_7 ◽

2020 ◽

pp. 111-116

Author(s):

Bernard Le Moullec ◽

Yan Hanrunyu ◽

Pradeep Kumar Ray

Keyword(s):

Financial Viability

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State-of-the-Art in Applying Machine Learning to Electronic Trading

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry ◽

10.1007/978-3-030-64466-6_1 ◽

2020 ◽

pp. 3-20

Author(s):

Fethi A. Rabhi ◽

Nikolay Mehandjiev ◽

Ali Baghdadi

Keyword(s):

Machine Learning ◽

State Of The Art ◽

Electronic Trading

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Using Machine Learning to Predict Short-Term Movements of the Bitcoin Market

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry ◽

10.1007/978-3-030-64466-6_2 ◽

2020 ◽

pp. 21-40

Author(s):

Patrick Jaquart ◽

David Dann ◽

Christof Weinhardt

Keyword(s):

Machine Learning ◽

Short Term

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What Do Robo-Advisors Recommend? - An Analysis of Portfolio Structure, Performance and Risk

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry ◽

10.1007/978-3-030-64466-6_6 ◽

2020 ◽

pp. 92-108

Author(s):

Albert Torno ◽

Sören Schildmann

Keyword(s):

Portfolio Structure

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Portfolio Rankings on Social Trading Platforms in Uncertain Times

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry ◽

10.1007/978-3-030-64466-6_5 ◽

2020 ◽

pp. 77-91

Author(s):

Steffen Bankamp ◽

Jan Muntermann

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Leveraging Textual Analyst Sentiment for Investment

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry ◽

10.1007/978-3-030-64466-6_4 ◽

2020 ◽

pp. 59-74

Author(s):

Matthias Palmer ◽

Timo Schäfer

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Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry ◽

10.1007/978-3-030-64466-6_3 ◽

2020 ◽

pp. 43-58

Author(s):

Pavlo Tertychnyi ◽

Ivan Slobozhan ◽

Madis Ollikainen ◽

Marlon Dumas

Keyword(s):

Machine Learning ◽

Money Laundering ◽

Learning Models ◽

Layered Approach ◽

Machine Learning Models

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Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance IndustryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

The Financial Viability of eHealth and mHealth

State-of-the-Art in Applying Machine Learning to Electronic Trading

Using Machine Learning to Predict Short-Term Movements of the Bitcoin Market

What Do Robo-Advisors Recommend? - An Analysis of Portfolio Structure, Performance and Risk

Portfolio Rankings on Social Trading Platforms in Uncertain Times

Leveraging Textual Analyst Sentiment for Investment

Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry
Latest Publications