Business Intelligence goal is to investigate, integrate and logically collect and
multidimensional analysis of data from varied customer information sources, environment …

Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …

The telecommunications industry is greatly concerned about customer churn due to
dissatisfaction with service. This industry has started investing in the development of …

Performance of text classification models tends to drop over time due to changes in data,
which limits the lifetime of a pretrained model. Therefore an ability to predict a model's ability …

Customer churn prediction is one of the challenging problems and paramount concerns for
telecommunication industries. With the increasing number of mobile operators, users can …

With progressing competitive market, different organizations were desperate to hold this
churn rate as minimum value, hence to achieve this, building an effective (CCP) customer …

Currently, Customers are struggling to retain their business in today's competitive markets.
Thus, the issue of customer churn becomes a significant challenge for the industries. In …

Churn rate describes the rate at which customers abandon a product or service. Identifying
churn‐risk customers is essential for telecom sectors to retain old customers and maintain a …

The telecommunications sector has experienced exponential growth since the year 2000,
reaching 5.31 trillion users by 2022, generating $1.07 trillion in revenue for …