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[PDF][PDF] Analysis of the LARG of the Hospital Medical Equipment Supply Chain Using the Fuzzy Inference System.
R Pabarja, G Jamali, K Salimifard… - International Journal of …, 2024 - riejournal.com
Abstract The Lean, Agile, Resilience, and Green (LARG) supply chains are more competitive
than conventional ones. Evaluating its performance under current conditions and …
than conventional ones. Evaluating its performance under current conditions and …
Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency
Customer churn prediction is important for businesses, especially in the telecommunications
sector, where retaining customers is more cost-effective than acquiring new ones …
sector, where retaining customers is more cost-effective than acquiring new ones …
Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning
Customer churn prediction is vital for organizations to mitigate costs and foster growth.
Ensemble learning models are commonly used for churn prediction. Diversity and prediction …
Ensemble learning models are commonly used for churn prediction. Diversity and prediction …
[HTML][HTML] Multi-Layer Perceptron and Radial Basis Function Networks in Predictive Modeling of Churn for Mobile Telecommunications Based on Usage Patterns
Customer retention is a key priority for mobile telecommunications companies, as acquiring
new customers is significantly more costly than retaining existing ones. A major challenge in …
new customers is significantly more costly than retaining existing ones. A major challenge in …
[HTML][HTML] Improving Churn Detection in the Banking Sector: A Machine Learning Approach with Probability Calibration Techniques
Identifying and reducing customer churn have become a priority for financial institutions
seeking to retain clients. Our research focuses on customer churn rate analysis using …
seeking to retain clients. Our research focuses on customer churn rate analysis using …
Rough Set Decision Rules for Usage-Based Churn Modeling in Mobile Telecommunications
M Przybyła-Kasperek, P Sulikowski - International Conference on …, 2024 - Springer
The concern of customer churn significantly impacts the tele-communications industry, given
the considerable costs associated with acquiring new customers compared to retaining …
the considerable costs associated with acquiring new customers compared to retaining …
Predictive Analytics for Telecom Customer Churn: Enhancing Retention Strategies in the US Market
MDR Mohaimin, BC Das, R Akter… - Journal of …, 2025 - al-kindipublishers.org
The telecommunications industry in America has been characterized by exponential
technological advancements and escalated competition, leading to heightened client …
technological advancements and escalated competition, leading to heightened client …
Optimizing Customer Relationship Management with Surprise Program: A Quantitative Approach
AS Muhyiddin, I Indrawati - International Journal of Management …, 2024 - journal.adpebi.com
This research explores the implementation of customer relationship marketing strategies
through the a program launched by PT XYZ. The program was designed to enhance …
through the a program launched by PT XYZ. The program was designed to enhance …
GSM sektöründe pazarlama stratejileri: Mobil telefon kullanıcılarının gsm operatörü değiştirme ve numara taşıma davranışlarının belirlenmesine yönelik bir araştırma
HD Göçmen - 2024 - gcris.pau.edu.tr
Bu çalışmanın amacı cep telefonu kullanıcılarının GSM operatörü değiştirme ve numara
taşıma davranışlarını analiz etmektir. Bu çerçevede öncelikle dünyada mobil telefonun icadı …
taşıma davranışlarını analiz etmektir. Bu çerçevede öncelikle dünyada mobil telefonun icadı …
A Hybrid Prediction Model for Customer Churn using DBSCAN and Stacking-Based Classifier
EA Mohammed, M Awadallah, A Gais… - JOURNAL OF …, 2023 - jecs.qu.edu.sa
Customer churn is a key concern in numerous companies, including the telecom industry.
Decision-makers and business analysts feel that retaining existing consumers is less …
Decision-makers and business analysts feel that retaining existing consumers is less …