ARTICLE
|
doi:10.20944/preprints202106.0063.v1
Subject:
Computer Science And Mathematics,
Algebra And Number Theory
Keywords:
Churn 1; customer churn; customer segmentation; churn prevention; predictive churn model; recommendation system engine.
Online: 2 June 2021 (10:03:02 CEST)
HYPOTHESIS
|
doi:10.20944/preprints202106.0119.v1
Subject:
Computer Science And Mathematics,
Algebra And Number Theory
Keywords:
Churn 1; customer churn; customer segmentation; churn prevention; predictive churn 20 model; recommendation system engine
Online: 3 June 2021 (14:57:01 CEST)
HYPOTHESIS
|
doi:10.20944/preprints202106.0118.v1
Subject:
Computer Science And Mathematics,
Analysis
Keywords:
Churn 1; customer churn; customer segmentation; churn prevention; predictive churn 21 model; recommendation system engine.
Online: 3 June 2021 (13:34:28 CEST)
CONCEPT PAPER
|
doi:10.20944/preprints202106.0113.v1
Subject:
Computer Science And Mathematics,
Algebra And Number Theory
Keywords:
Churn 1; customer churn; customer segmentation; churn prevention; predictive churn 20 model; recommendation system engine.
Online: 3 June 2021 (12:48:22 CEST)
ARTICLE
|
doi:10.20944/preprints201608.0142.v1
Subject:
Computer Science And Mathematics,
Information Systems
Keywords:
churn prediction; incremental principal component analysis; stochastic gradient descent
Online: 13 August 2016 (11:28:39 CEST)
REVIEW
|
doi:10.20944/preprints202308.1478.v4
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
machine learning; churn prediction; imbalanced data; combined data sampling techniques; hyperparameter optimization
Online: 17 November 2023 (14:15:58 CET)
ARTICLE
|
doi:10.20944/preprints202403.0213.v2
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
customer churn prediction; machine learning; classification techniques; SMOTE; ADASYN; Random Forest; XGBoost; LightGBM; CatBoost
Online: 10 April 2024 (07:57:46 CEST)
ARTICLE
|
doi:10.20944/preprints202403.1048.v1
Subject:
Social Sciences,
Decision Sciences
Keywords:
Customer Churn Prediction; Hyperparameter Optimization; Particle Swarm Optimization (PSO); Deep Learning Models; Telecommunications Analytics
Online: 18 March 2024 (13:08:31 CET)
REVIEW
|
doi:10.20944/preprints202403.0585.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
Customer churn prediction; machine learning; telecommunication industry; literature review; imbalanced data; sampling techniques; classification techniques; random forest; XGBoost; gradient boosting; ensemble techniques
Online: 14 March 2024 (05:27:06 CET)