Machine learning to develop credit card customer churn prediction
The credit card customer churn rate is the percentage of a bank's customers that stop using
that bank's services. Hence, developing a prediction model to predict the expected status for …
that bank's services. Hence, developing a prediction model to predict the expected status for …
Comparing cost sensitive classifiers by the false-positive to false-negative ratio in diagnostic studies
A Kumaravel, T Vijayan - Expert Systems with Applications, 2023 - Elsevier
Nowadays researchers want to be cautious about cost of building models which can
generate false positives and false negatives in unexpected ways. They keep on searching …
generate false positives and false negatives in unexpected ways. They keep on searching …
[PDF][PDF] Arithmetic Optimization with Deep Learning Enabled Churn Prediction Model for Telecommunication Industries.
V Haridasan, K Muthukumaran… - … Automation & Soft …, 2023 - cdn.techscience.cn
Customer retention is one of the challenging issues in different business sectors, and
various firms utilize customer churn prediction (CCP) process to retain existing customers …
various firms utilize customer churn prediction (CCP) process to retain existing customers …
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 …
Model Building and Heuristic Evaluation of Various Machine Learning Classifiers
Y Jahnavi, VR Balasaraswathi… - … on Sustainable and …, 2022 - Springer
Abstract Machine learning is used to analyze data from divergent perspectives, summarize it
into expedient information, and use that information to predict the likelihood of future events …
into expedient information, and use that information to predict the likelihood of future events …
Tri-Strategy Remora Optimization Algorithm based Support Vector Machine for Customer Churn Prediction
P Murugesan, P Trivedi - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In the Telecommunication Industry (TCI), Customer Churn (CC) is an essential problem
because to revenue of service providers is completely based on retaining current customers …
because to revenue of service providers is completely based on retaining current customers …
Two-stage imbalanced learning-based quality prediction method for wheel hub assembly
Wheel hub assembly plays a pivotal role in automobile manufacturing, and its quality directly
affects the overall reliability of the automobile transmission system. Accurate prediction of …
affects the overall reliability of the automobile transmission system. Accurate prediction of …
Customer data prediction and analysis in e-commerce using machine learning
MA Al Rahib, N Saha, R Mia, A Sattar - Bulletin of Electrical Engineering …, 2024 - beei.org
Customer churn is a major challenge faced by e-commerce companies, as it leads to loss of
revenue and decreased customer loyalty. In recent years, for predicting and reducing client …
revenue and decreased customer loyalty. In recent years, for predicting and reducing client …
Analysis implementation of the ensemble algorithm in predicting customer churn in telco data: A comparative study
Globalization and technological advancements in the telecommunication industry have led
to a significant rise in the number of operators, leading to intense market competition. This …
to a significant rise in the number of operators, leading to intense market competition. This …
[PDF][PDF] Churn rate modeling for telecommunication operators using data science methods
T Zatonatska, Y Fareniuk, V Shpyrko - Marketing i menedžment innovacij, 2023 - zbw.eu
The telecommunication company functioned in the market with extremely high
competitiveness. Attracting new customers needs 5-10 times more expenses than …
competitiveness. Attracting new customers needs 5-10 times more expenses than …