An effective hybrid learning system for telecommunication churn prediction
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Gui suggested that the SMOTE sampling technique provided the best prediction performance.
“In the study, the author suggested that the SMOTE sampling technique provided the best prediction performance.”
From A Survey on Churn Analysis in Various Business Domains (2020) · cites this paper as [145]
Gui applied undersampling, oversampling, and SMOTE methods to an imbalanced dataset of telecommunication field and compared the performance of the derived churn prediction models.
“Gui, Chun.(2017) applied undersampling, oversampling, and SMOTE methods to an imbalanced dataset of telecommunication field and compared the performance of the derived churn prediction models [145].”
From A Survey on Churn Analysis in Various Business Domains (2020) · cites this paper as [145]
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References 44 · Cited by 90
- Authors
- Huang, Y., & Kechadi, T.
- Affiliations
- University College Dublin (IE)
- Corresponding author
- Huang, Ying
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 40
- Issue
- 14
- Pages
- 5635-5647
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W1975402091
- Cited by
- 90
- References
- 44
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 7 · 2023: 9 · 2022: 10 · 2021: 16 · 2020: 6 · 2019: 7 · 2018: 8 · 2017: 10 · 2016: 1 · 2015: 1 · 2014: 5 · 2013: 1
- FWCI
- 7.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Keywords
- customer churn prediction, telecommunications, hybrid classification, weighted K-means clustering, customer retention, interpretability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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