Results 111 to 120 of about 1,692 (204)

Leveraging Various Feature Selection Methods for Churn Prediction Using Various Machine Learning Algorithms

JOIV: International Journal on Informatics Visualization
This study aims to examine the effect of customer experience on customer retention at DQLab Telco, using machine learning techniques to predict customer churn.
Kusnawi Kusnawi, Joang Ipmawati, Bima Pramudya Asadulloh, Afrig Aminuddin, Ferian Fauzi Abdulloh, Majid Rahardi   +5 more
doaj   +1 more source

Using social network knowledge to enhance customer churn prediction

, 2016
Customer churn prediction plays a crucial role in Customer Relationship Management (CRM). Early detection whether a customer will leave the company or not, can prevent potential damage to the customer base.
Benoit, Dries, Tsang, Wai
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Applying CHAID for logistic regression diagnostics and classification accuracy improvement

In this study a CHAID-based approach to detecting classification accuracy heterogeneity across segments of observations is proposed. This helps to solve some important problems, facing a model-builder: 1. How to automatically detect segments in which the
Antipov, Evgeny, Pokryshevskaya, Elena
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Machine learning in customer churn prediction

, 2023
The dissertation examines customer churn prediction in e-commerce retail settings, presenting the current research landscape, analyzing key trends, and pinpointing opportunities for further investigation. The literature review is conducted using language
Fridrich, Martin
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A multi-layer perceptron approach for customer churn prediction

, 2015
Nowadays, the telecommunication industries are facing substantial competition among the providers in order to capture new customers. Many providers have faced a loss of profitability due to the existing customers migrating to other providers.
Mokhairi, Makhtar, Mohd Khalid, Awang, Mohd Nordin, Abdul Rahman   +2 more
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Churn prediction model using variable churn window for online purchases

, 2022
The identification of retainable online non-contractual customers is pertinent for the operations and growth of non-contractual online businesses, since there are no obligations for customers to be loyal to a particular online business.
Ganeson, Sunther
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Enhancing customer retention in telecom industry with machine learning driven churn prediction

Scientific Reports
Customer churn remains a critical concern for businesses, highlighting the significance of retaining existing customers over acquiring new ones. Effective prediction of potential churners aids in devising robust retention policies and efficient customer ...
Alisha Sikri, Roshan Jameel, Sheikh Mohammad Idrees, Harleen Kaur   +3 more
doaj   +1 more source

Telco Customer Churn Prediction

Highlights in Science, Engineering and Technology
In recognizing the significance of retaining current consumers to thrive in this competitive landscape, this paper aims to predict customers' churn probability based on the background and behaviors of previous customers. The paper utilizes churn probability as a proactive means to identify customers at a high risk of leaving, serving as a reference for
openaire   +1 more source

Predictive Modeling for Customer Churn

Customer churn is a major concern for the banking industry, where retaining existing customers is often more profitable than acquiring new ones. With increasing competition from digital banks and fintech startups, it has become vital for traditional banks to proactively identify customers who are likely to leave.
Dr. AS Arunachalam, B Sathya Moorthy
openaire   +2 more sources

Customer Churn Prediction Based on Sentiment Score

In recent years, the telecommunications industry has witnessed intensified competition, wherein the expense associated with acquiring new consumers exceeds that of sustaining existing ones.
Al-Safi, Shadha
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