Multi-class Churn Classification
Multi-Class Churn Classification is a predictive modeling task in customer churn analysis that categorizes customers into more than two discrete outcome classes—such as non-churn, voluntary churn, and involuntary churn—thereby extending binary churn prediction to capture multiple distinct behavioral trajectories.
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2017–2026
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Ait Daoud Rachid, Abdellah Amine, Belaid Bouikhalene et al. · International Journal of Electrical and Computer Engineering (IJECE) · 2018 · 19 citations · Full text
Business, Business Analytics, Management Information Systems +17
Customer Churn Prediction in Telecommunication Industry: With and without Counter-Example
Adnan Amin, Changez Khan, Imtiaz Ali et al. · 2014 · 15 citations
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Institute of Management Sciences Peshawar
Peshawar, Pakistan
1 h-index
4 publications
60 citations

University of Agder
Kristiansand, Norway
1 h-index
1 publications
57 citations
Université Sultan Moulay Slimane
Beni Mellal, Morocco
1 h-index
4 publications
76 citations
Asia Pacific University of Technology & Innovation
Kuala Lumpur, Malaysia
1 h-index
3 publications
171 citations

Punjabi University
Patiāla, India
1 h-index
2 publications
70 citations
Université Paris Cité
Paris, France
1 h-index
3 publications
204 citations
Centre Borelli
Paris, France
1 h-index
3 publications
204 citations
Montpellier Business School
Montpellier, France
1 publications
14 citations
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1 publications · 57 citations
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MICPRO · 1 publications · 35 citations
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JDSA · 1 publications · 68 citations
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1 publications · 19 citations
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1 publications · 14 citations
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