Predicting the changes in the WTI crude oil price dynamics using machine learning models
H Guliyev, E Mustafayev - Resources Policy, 2022 - Elsevier
This study aims to use a monthly dataset from 1991 to 2021 to predict West Texas
Intermediate (WTI) oil price dynamics using US macroeconomic and financial factors, as well …
Intermediate (WTI) oil price dynamics using US macroeconomic and financial factors, as well …
[HTML][HTML] Investigating customer churn in banking: A machine learning approach and visualization app for data science and management
Customer attrition in the banking industry occurs when consumers quit using the goods and
services offered by the bank for some time and, after that, end their connection with the bank …
services offered by the bank for some time and, after that, end their connection with the bank …
[PDF][PDF] Implementing machine learning techniques for customer retention and churn prediction in telecommunications
IA Adeniran, CP Efunniyi, OS Osundare… - Computer Science & …, 2024 - researchgate.net
Customer retention is critical to business strategy in the telecommunications industry as
companies strive to maintain a stable and loyal customer base. Customer churn, the process …
companies strive to maintain a stable and loyal customer base. Customer churn, the process …
CUSTOMER CHURN PREDICTION IN THE BANKING SECTOR USING MACHINE LEARNING-BASED CLASSIFICATION MODELS.
Abstract Aim/Purpose Previous research has generally concentrated on identifying the
variables that most significantly influence customer churn or has used customer …
variables that most significantly influence customer churn or has used customer …
Customer churn prediction in imbalanced datasets with resampling methods: A comparative study
Customer churn presents a significant challenge for businesses in the era of subscription-
based services because retaining customers plays a key role in sustained growth. Existing …
based services because retaining customers plays a key role in sustained growth. Existing …
Hybrid black-box classification for customer churn prediction with segmented interpretability analysis
Customer retention management relies on advanced analytics for decision making. Decision
makers in this area require methods that are capable of accurately predicting which …
makers in this area require methods that are capable of accurately predicting which …
Interpretable machine learning for predicting customer churn in retail banking
S Murindanyi, BW Mugalu… - … conference on trends …, 2023 - ieeexplore.ieee.org
Customer churn is one of the biggest problems any brokerage institution has. This is
evidenced by the rapid establishment of intelligent systems to predict customer churn, retain …
evidenced by the rapid establishment of intelligent systems to predict customer churn, retain …
Machine learning models for customer relationship management to improve satisfaction rate in banking sector
R Goel, A Kalotra - … on Parallel, Distributed and Grid Computing …, 2022 - ieeexplore.ieee.org
CRM with Machine Learning could bring a catalyst change in business culture of today's
time. This study's objective was to examine Consumer perception and satisfaction level …
time. This study's objective was to examine Consumer perception and satisfaction level …
Prediction of customer churn for ABC Multistate Bank using machine learning algorithms/Hui Shan Hon...[et al.]
Customer churn is defined as the tendency of customers to cease doing business with a
company in a given period. ABC Multistate Bank faces the challenges to hold clients. The …
company in a given period. ABC Multistate Bank faces the challenges to hold clients. The …
A Novel Hybrid Forecasting Approach for Customers Churn in Banking Industry
S Rouhani, A Mohammadi - Journal of Information & Knowledge …, 2023 - World Scientific
Competitive markets and customers' changing needs in the bank industry necessitate
accurately predicting customers who may leave the firm in the near future. Consequently …
accurately predicting customers who may leave the firm in the near future. Consequently …