Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Z Liu, P Jiang, KW De Bock, J Wang, L Zhang… - … Forecasting and Social …, 2024 - Elsevier
Customer retention campaigns increasingly rely on predictive analytics to identify potential
churners in a customer base. Traditionally, customer churn prediction was dependent on …
churners in a customer base. Traditionally, customer churn prediction was dependent on …
Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms
R Hassanzadeh, M Farhadian… - BMC medical research …, 2023 - Springer
Background Trauma is one of the most critical public health issues worldwide, leading to
death and disability and influencing all age groups. Therefore, there is great interest in …
death and disability and influencing all age groups. Therefore, there is great interest in …
Factors, Predictability and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature
D Freire, D Mauricio, JLC Sequera, D Fiallo - IEEE Access, 2024 - ieeexplore.ieee.org
The telecommunications sector has experienced exponential growth since the year 2000,
reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for …
reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for …
To SMOTE, or not to SMOTE?
Y Elor, H Averbuch-Elor - arXiv preprint arXiv:2201.08528, 2022 - arxiv.org
Balancing the data before training a classifier is a popular technique to address the
challenges of imbalanced binary classification in tabular data. Balancing is commonly …
challenges of imbalanced binary classification in tabular data. Balancing is commonly …
Bayesian Optimization with Tree Ensembles to Improve Depression Screening on Textual Datasets
T Zhao, ML Tlachac - IEEE Transactions on Affective …, 2024 - ieeexplore.ieee.org
Improving digital depression screening is important for combating the global mental health
crisis. Textual data are promising for depression screening due to their many origins, but the …
crisis. Textual data are promising for depression screening due to their many origins, but the …
Customer churn prediction model: a case of the telecommunication market
Y Fareniuk, T Zatonatska, O Dluhopolskyi, O Kovalenko - Economics, 2022 - sciendo.com
The telecommunications market is well developed but is characterized by oversaturation
and high levels of competition. Based on this, the urgent problem is to retain customers and …
and high levels of competition. Based on this, the urgent problem is to retain customers and …
Sparrow Search Optimization with Ensemble of Machine Learning Model for Customer Retention Prediction and Classification
RJT Nirmalraj, M Rajeswari, SH Krishna… - … on Trends in …, 2023 - ieeexplore.ieee.org
Customer Relationship Management (CRM) system is majorly used to allow organizations to
obtain new customers, establishes a continuous relationship with them and rises customer …
obtain new customers, establishes a continuous relationship with them and rises customer …
Customer churn prediction from Internet banking transactions data using an ensemble meta-classifier algorithm
F Ehsani - 2022 - researchsquare.com
With the advancement of electronic markets platforms, customers show different purchase
behaviors. Since they have a wide range of choices and low exit barriers, customer …
behaviors. Since they have a wide range of choices and low exit barriers, customer …
Comparison of principal component analysis and recursive feature elimination with cross-validation feature selection algorithms for customer churn prediction
MAA Matin, A Triayudi, RT Aldisa - … of the 3rd International Conference on …, 2023 - Springer
Customers choose services from telecommunication companies which are usually based on
service quality, price, to security issues. If the customer is not satisfied with the services …
service quality, price, to security issues. If the customer is not satisfied with the services …
Data Analysis and Classification of the Complaint Case Type for Orange Jordan Telecom Company
S Al Tamimi, R Qaddoura… - … on Information and …, 2023 - ieeexplore.ieee.org
This paper studies the complaints data from a well-known and prestigious company in the
Telecom industry in Jordan named Orange Jordan. Efficiently identifying customer …
Telecom industry in Jordan named Orange Jordan. Efficiently identifying customer …