Customer churn prediction in telecommunication industry is a very essential factor to be
achieved and it makes direct impact to customer retention and its revenues. Developing a …

Today in every industry weather, it is ISP, IT products, social network or mobile services
there is the problem of customer churn (Customers changing their services from one service …

There has been an increase in customer churn over the past few years—customers decide
not to continue purchasing products or services from an organization. Customers' data lie in …

Ensemble learning involves using several individual classifiers and combining their
predictions, which may result in better performance than a single classifier. This article …

Combining multiple classifiers to create hybrid learners (ensembles) has gained popularity
in recent years. Ensembles are gaining more interest in the field of data mining as they have …

Telecommunication industry provides customers an opportunity to choose from various
service providers. However, certain factors such as low switching costs and deregulation by …

The expenses for attracting new customers are much higher compared to the ones needed
to maintain old customers due to the increasing competition and business saturation. So …

The telecommunication industry always has a tough competition with its competitors to retain
customers, and therefore has become one of the research sectors in machine learning and …

The information-based prediction models using machine learning techniques have gained
massive popularity during the last few decades. Such models have been applied in a …

Nowadays, credit scoring is one of the most important topics in the banking sector. Credit
scoring models have been widely used to facilitate the process of credit assessing. In this …