[PDF][PDF] Enhancing Machine Learning Engineering For Predicting Youth Loyalty In Digital Banking Using A Hybrid Meta-Learners
Customer retention is a top priority for organizations due to its significant impact on
corporate profitability. There is a lot of competition between banks to acquire and retain …
corporate profitability. There is a lot of competition between banks to acquire and retain …
Predicting customer loyalty in banking sector with mixed ensemble model and hybrid model
J Latheef, S Vineetha - … Techniques and Applications: Proceedings of the …, 2021 - Springer
Abstract Customer Relationship Management systems are used to enable organizations to
acquire new customers, develop a continuous relationship with them, and increase …
acquire new customers, develop a continuous relationship with them, and increase …
An optimized stacking ensemble technique for creating prediction model of customer retention pattern in the banking sector
OM Oladimeji, AR Ajiboye… - Gadau Journal of Pure …, 2023 - gadaufos.com
Banking is one of the sectors that pays close attention to their clients' behavior with a view to
tracking their activities, most especially as relates to monetary transactions. To add new …
tracking their activities, most especially as relates to monetary transactions. To add new …
Machine Learning Modeling for Forecasting Repeat Purchases in Online Shopping
L Duan - MALCOM: Indonesian Journal of Machine Learning …, 2024 - journal.irpi.or.id
Online shopping merchants will conduct a series of marketing activities to increase
customers, but in many cases, most of the new customers will not make repeat purchases …
customers, but in many cases, most of the new customers will not make repeat purchases …
[HTML][HTML] Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study
WN Wassouf, R Alkhatib, K Salloum, S Balloul - Journal of Big Data, 2020 - Springer
Given the growing importance of customer behavior in the business market nowadays,
telecom operators focus not only on customer profitability to increase market share but also …
telecom operators focus not only on customer profitability to increase market share but also …
[PDF][PDF] Research on precision marketing based on big data analysis and machine learning: case study of Morocco
N El Koufi, A Belangour, M Sdiq - International Journal of Advanced …, 2022 - academia.edu
With the growth of the Internet industry and the informatization of services, online services
and transactions have become the mainstream method used by clients and companies. How …
and transactions have become the mainstream method used by clients and companies. How …
Predicting Customer's Subscription Response to Bank Telemarketing Campaign Based on Machine learning Algorithms
SE Saeed, M Hammad… - … Conference on Decision …, 2022 - ieeexplore.ieee.org
The cut-throat competition in the banking industry has led to the paradigm shift of banking
strategies from conventional methods towards state-of-the-art data mining and machine …
strategies from conventional methods towards state-of-the-art data mining and machine …
[PDF][PDF] Exploring Data Visualization to Analyze and Predict Customer Loyalty in Banking Sector with Ensemble Learning
J Latheef, S Vineetha - International Journal of Innovative Research in …, 2021 - ijirase.com
Customer loyalty or customer churn, also known as customer attrition, refers to the
phenomenon whereby a customer leaves a company. Some studies confirmed that …
phenomenon whereby a customer leaves a company. Some studies confirmed that …
Comparative analysis of accuracy and prediction of customer loyalty in the telecom industry using novel diverse algorithm
PSS Surya, K Anitha - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The goal of this project is to see how well a different algorithm can predict customer loyalty in
the telecom industry. The customer information dataset used to train and test the proposed …
the telecom industry. The customer information dataset used to train and test the proposed …
A Study on Improving Banking Process for Predicting Prospective Customers of Term Deposits using Explainable Machine Learning Models
This study has been carried out to provide a sophisticated machine learning approach for
the marketing prediction problem in banking systems. Classical machine learning models …
the marketing prediction problem in banking systems. Classical machine learning models …