Customer retention management: A complementary use of data mining and soft systems methodology

M Mehrabioun, BM Mahdizadeh - Human Systems …, 2021 - content.iospress.com
BACKGROUND: Customer retention and management of customer churn are deemed as
among the most significant issues for businesses. Given the fact that customer churn is not …

[HTML][HTML] Customer Churn Analysis Based on the Data-mining Approach: Hybrid Algorithm‎ Incorporates Decision Tree and Bayesian Network

A Aghakhani Bezdi Langari - New Marketing Research Journal, 2023 - nmrj.ui.ac.ir
Today, companies and organizations are aware of the fact that customer retention leads to
greater profitability. Increasing competition causes the rate of customer churn to grow …

[PDF][PDF] Soft Computing Method for Customer Churn Management

T Kadak - 2007 - Citeseer
There holds a common understanding in business, that retaining existing customers is the
best core marketing strategy to survive in an industry. Churn management is the term that …

Using Machine Learning Algorithms to Analyze Customer Churn in the Software as a Service (SaaS) Industry

L Çallı, S Kasım - Academic Platform Journal of Engineering and …, 2022 - dergipark.org.tr
Companies must retain their customers and maintain long-term relationships in industries
with intense competition. Customer churn analysis is defined in the literature as identifying …

[PDF][PDF] Customer churn prediction in banking industry using K-means and support vector machine algorithms

AS Olaniyi, AM Olaolu… - International Journal …, 2020 - researchgate.net
This study proposes a customer churn mining structure based on data mining methods in a
banking sector. This study predicts the behavior of customers by using clustering technique …

Development of a customer churn model for banking industry based on hard and soft data fusion

M Alizadeh, DS Zadeh, B Moshiri, A Montazeri - IEEE Access, 2023 - ieeexplore.ieee.org
There has been an increase in customer churn over the past few years—customers decide
not to continue purchasing products or services from an organization. Customers' data lie in …

Toward a hybrid data mining model for customer retention

BH Chu, MS Tsai, CS Ho - Knowledge-Based Systems, 2007 - Elsevier
The prevention of subscriber churn through customer retention is a core issue of Customer
Relationship Management (CRM). By minimizing customer churn a company maximizes its …

Application of data mining techniques in customer relationship management: A literature review and classification

EWT Ngai, L Xiu, DCK Chau - Expert systems with applications, 2009 - Elsevier
Despite the importance of data mining techniques to customer relationship management
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …

[PDF][PDF] Predictive analysis of customer churn in telecom industry using supervised learning

SR Labhsetwar - ICTACT Journal on Soft Computing, 2020 - ictactjournals.in
Customer acquisition and retention is a key concern for several industries and is particularly
acute in fiercely competitive and fast growth businesses. Retaining a loyal customer is far …

Machine learning models for predicting customer churn: a case study in a software-as-a-service inventory management company

N Phumchusri… - International Journal of …, 2024 - inderscienceonline.com
Software-as-a-service (SaaS) is a software-licensing model, which allows access to software
on a subscription basis using external servers. This article proposes customer churn …