Customer churn prediction using composite deep learning technique

A Khattak, Z Mehak, H Ahmad, MU Asghar… - Scientific Reports, 2023 - nature.com
Customer churn, a phenomenon that causes large financial losses when customers leave a
business, makes it difficult for modern organizations to retain customers. When dissatisfied …

Identifying customer churn patterns using machine learning predictive analysis

S Sharma, N Desai - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Customer churn, often known as customer attrition, is a prevalent issue faced by businesses
operating in many sectors. The accurate anticipation and mitigation of customer churn is of …

A classification application for using learning methods in bank costumer's portfolio churn

M Simsek, IC Tas - Journal of Forecasting, 2024 - Wiley Online Library
To ensure the sustainability of customer‐company loyalty and to control the financial flow of
the company, studies involving customer loss or gain are carried out. When the studies are …

Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry

O Soleiman-garmabaki, MH Rezvani - Multimedia Tools and Applications, 2024 - Springer
Today, in addition to reactive methods, companies try to use proactive techniques for the
early detection of customer churn. Generally, gaining a new customer is more costly than …

Deep learning based market basket analysis using association rules

H Ghous, M Malik, I Rehman - KIET Journal of Computing and …, 2023 - kjcis.kiet.edu.pk
Abstract Market Basket Analysis (MBA) is a data mining technique assisting retailers in
determining the customer's buying habits while making new marketing decisions as the …

Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques

PT Huong, LT Hien, NM Son… - Journal of Algorithms …, 2025 - journals.sagepub.com
This study introduces significant improvements in the construction of deep convolutional
neural network models for classifying agricultural products, specifically oranges, based on …

The Comparison of Random Forest and Artificial Neural Network for Customer Churn Prediction in Telecommunication

AF Ramadhan, SD Permai… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Customer churn is a significant issue that can affect a company's revenue, particularly in the
telecommunication sector. Companies today are working hard to survive in this competitive …

Evrişimsel Sinir Ağları Tabanlı Derin Öğrenme Yöntemiyle Müşteri Şikayetlerinin Sınıflandırılması

MF Tuna, Y Görmez - Bingöl Üniversitesi İktisadi ve İdari Bilimler …, 2024 - dergipark.org.tr
Günümüzde, artan nüfus ve değişen ihtiyaçlar doğrultusunda firma sayıları giderek artmakta
ve firmalar büyümektedir. Bu bağlamda, aynı alanda faaliyet gösteren birçok firma ortaya …

Artificial Neural Network Using Weight Initialization in Customer Churn Prediction: Banking Industry

NH Santoso, H Lucky - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Predicting customer churn is crucial but ANN have often underperformed compared to other
models in the competitive banking industry. This study focuses on enhancing an Artificial …

Analysis and Classification of Customer Churn Using Machine Learning Models

MMS Nurhidayat, D Anggraini - Jurnal RESTI (Rekayasa Sistem …, 2023 - jurnal.iaii.or.id
Abstract Analysis studies of customer loss (customer churn) have been used for years to
increase profitability and build customer relationships with companies. Customer analysis …