The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

Abstract This study compares Logistic Regression and Random Forest in predicting e-
commerce customer churn. Utilizing the E-commerce Customer dataset, it navigates the …

The problem of student structure prediction is very important from the viewpoint of the
fundamental planning and control functions associated with this specific form of …

The classification of churn is driven by the potential risks e-commerce companies face, such
as losing customers who discontinue their service usage or churn. Marketing specialists …

The classification model in machine learning has been employed to address different
problems. Machine Learning classification is an effective method to realize customer churn …

Abstract Intelligent System for Customer Churn Prediction (CCP) relates to a system or
application that controls advanced artificial intelligence (AI), data analysis, and machine …

The avalanche of AI deployment and its security-privacy concerns are two sides of the same
coin. Article 17 of GDPR calls for the Right to Erasure; data has to be obliterated from a …

Aims & Background: Businesses in the E-commerce sector, especially those in the business-
to-consumer segment, are engaged in fierce competition for survival, trying to gain access to …

Customer churn is a major challenge faced by e-commerce companies, as it leads to loss of
revenue and decreased customer loyalty. In recent years, for predicting and reducing client …

In the recent era, advertising strategies are far more sophisticated than those of their
predecessors. In marketing, business contacts are essential for online transactions. For that …