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Artificial Intelligence Based System for Bank Loan Fraud Prediction · Peerford

conference paper · Publication · 2022

Artificial Intelligence Based System for Bank Loan Fraud Prediction

Joseph Bamidele Awotunde, Sanjay Misra, Foluso Ayeni, Rytis Maskeliūnas, Robertas Damaševičius

Lecture notes in networks and systems

Closed access
World top 10%
International · 4 countries

Go to the publisher 10.1007/978-3-030-96305-7_43

Citations: 17from other works
Field-weighted impact: 2.861.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 5from 5 institutions

Authors

5 authors across 5 institutions in 4 countries

Joseph Bamidele AwotundeFirst author
- University of Ilorin (NG)
Sanjay MisraCorresponding
Foluso Ayeni
- Covenant University (NG)
Rytis Maskeliūnas
as printed: Rytis Maskeliunas
Robertas DamaševičiusSenior author
as printed: Robertas Damasevicius

Development goals

16Peace, justice and strong institutions
8

Decent work and economic growth

Countries on it

Nigeria
Norway
Poland
United States

Also on it

Østfold University of Applied Scienceseducation · NO
Silesian University of Technologyeducation · PL
University of Nebraska at Omahaeducation · US

Fields

A work can sit in several, each with a score

Imbalanced Data Classification TechniquesTopic
Financial Distress and Bankruptcy PredictionTopic
FinTech, Crowdfunding, Digital FinanceTopic