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Intelligent Decision Forest Models for Customer Churn Prediction · Peerford

Article · Journal · 2022

Intelligent Decision Forest Models for Customer Churn Prediction

Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed A. Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu and 4 more

Applied Sciences

Open access · Gold
World top 10%
International · 5 countries

Read it 10.3390/app12168270

Citations: 31from other works
Field-weighted impact: 3.941.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 10from 6 institutions

Authors

10 authors across 6 institutions in 5 countries

Fatima Enehezei Usman-HamzaFirst author
- University of Ilorin (NG)
Abdullateef Oluwagbemiga BalogunCorresponding
- University of Ilorin (NG)
Luiz Fernando Capretz
Hammed A. MojeedCorresponding
- University of Ilorin (NG)
as printed: Hammed Adeleye Mojeed
Saipunidzam Mahamad
Shakirat Aderonke Salihu
- University of Ilorin (NG)

Abimbola Ganiyat Akintola

University of Ilorin (NG)

Shuib Bin Basri

as printed: Shuib Basri

Ramoni Tirimisiyu Amosa

University of Ilorin (NG)

Nasiru Kehinde SalahdeenSenior author

University of Ilorin (NG)

Countries on it

Canada
Malaysia
Nigeria
Poland
Singapore

Also on it

Gdańsk University of Technologyeducation · PL
National University of Singaporeeducation · SG
Universiti Teknologi Petronaseducation · MY
Western Universityeducation · CA
Yale-NUS Collegeeducation · SG

Fields

A work can sit in several, each with a score

Customer churn and segmentationTopic
Consumer Retail Behavior StudiesTopic
Customer Service Quality and LoyaltyTopic