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 …

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 …

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 …

Günümüzde, artan nüfus ve değişen ihtiyaçlar doğrultusunda firma sayıları giderek artmakta
ve firmalar büyümektedir. Bu bağlamda, aynı alanda faaliyet gösteren birçok firma ortaya …

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 …

This study uses neural networks to explore the intricate longitudinal progression of
decommissioned geostationary satellites. The goal is to model and predict satellites' …

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 …

The telecommunications sector has recently experienced unheard-of expansion, propelled
by technical breakthroughs and a rising need for connection. The high incidence of client …

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 …

In today's competitive business landscape, understanding and mitigating customer churn is
paramount, particularly in telecommunications and the medical industry. This review offers a …