Predictive Churn Scoring
Predictive Churn Scoring is a data-driven analytical method that quantitatively estimates the likelihood of individual customers terminating their relationship with a service provider by assigning a risk score based on historical behavioral and transactional patterns.
6
Publications
220
Citations
22
Authors
11
Institutions
Publications per year
2017–2026
4
Parents
6
Analysis of the KDD cup 2009: fast scoring on a large orange customer database
Isabelle Guyon, Vincent Lemaire, Marc Boullé et al. · 2009 · 41 citations
1–5 of 6
22
Sri Ramachandra Institute of Higher Education and Research, India
1 publications · 49 citations
1
h-index
1
h-index
1
h-index
1
h-index
Ss. Cyril and Methodius University in Skopje, North Macedonia
1 publications · 62 citations
1
h-index
1–5 of 22
11
Centre Borelli
Paris, France
1 h-index
3 publications
66 citations
Orange (France)
Paris, France
1 h-index
2 publications
82 citations
Université Paris Cité
Paris, France
1 h-index
3 publications
66 citations

Jawaharlal Nehru Technological University Anantapur
Anantapur, India
1 h-index
3 publications
147 citations
Academic College of Tel Aviv-Yafo
Tel Aviv, Israel
1 h-index
1 publications
41 citations

University of Warsaw
Warsaw, Poland
1 h-index
1 publications
62 citations
Graz University of Technology
Graz, Austria
1 h-index
1 publications
17 citations
Clopinet
Berkeley, United States
1 h-index
1 publications
41 citations
1–8 of 11
1 publications · 49 citations
1
h-index
1 publications · 62 citations
1
h-index
1 publications · 17 citations
1
h-index
DKE · 1 publications · 22 citations
1
h-index
1 publications · 12 citations
1–5