With the rapid growth of digital systems and associated information technologies, there is an
emerging trend in the global economy to build digital customer relationship management …

Customer retention is one of the key challenges in the telecommunication industry.
Companies may find customer churn prediction to be vital to the success of their operations …

We show that telco big data can make churn prediction much more easier from the 3 V's
perspectives: Volume, Variety, Velocity. Experimental results confirm that the prediction …

One type of data-driven innovations in management is data-driven decision making.
Confronted with a big amount of data external and internal to their organization's managers …

In the past several single classifiers, homogeneous and heterogeneous ensembles have
been proposed to detect the customers who are most likely to churn. Despite the popularity …

Players in the telecommunications sector struggle against the competition to keep
customers, and therefore they need effective churn management. Most classification …

In this manuscript, a methodology is presented for identifying the Customer churn prediction
in insurance sector using Meta-heuristic methods such as BEE colony (BEE), Ant colony …

Rough set theory (RST) can be viewed as one of the classical set theory for handling with
imprecision knowledge. The theory has discovered applications in numerous areas, for …

Customer churn has been considered as one of the key issues in the operations of the
corporate business sector, as it influences the turnover directly. In particular, the telecom …

Cloud computing is emerging as a promising platform for ubiquitous computing where
various types of resources are offered on pay-per-use basis. Cloud services are basically …