Binary Churn Classification
Binary Churn Classification is a supervised machine learning task that categorizes customers into one of two mutually exclusive states—churned or non-churned—based on historical behavioral and transactional data to predict customer attrition in a binary outcome framework.
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Publications
225
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28
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8
Institutions
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2017–2026
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A hybrid KNN-LR classifier and its application in customer churn prediction
Yangming Zhang, Jiayin Qi, Huaying Shu et al. · 2007 · 30 citations
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Institute of Management Sciences Peshawar
Peshawar, Pakistan
1 h-index
4 publications
60 citations
University of Patras
Pátrai, Greece
1 h-index
2 publications
66 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
4 publications
120 citations
University of Münster
Münster, Germany
1 h-index
2 publications
84 citations

Punjabi University
Patiāla, India
1 h-index
2 publications
70 citations
Tsinghua University
Beijing, China
1 h-index
2 publications
36 citations

University of Novi Sad
Novi Sad, Serbia
1 h-index
5 publications
105 citations

Ghent University
Ghent, Belgium
1 h-index
2 publications
22 citations
1–8 of 8
1 publications · 21 citations
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IJDTA · 1 publications · 20 citations
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Repository · 1 publications · 11 citations
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TG · 1 publications · 42 citations
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MICPRO · 1 publications · 35 citations
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