Churn Prediction in Telecommunication Industry Using Decision Tree


Telecommunication industry provides customers an opportunity to choose from various service providers. However, certain factors such as low switching costs and deregulation by the government have contributed to the risk of customers switching to competitors. Customer churn can therefore be defined as the switching of a customer from services of one provider to another. Since it can be a costly risk, it needs to be managed properly. The presented paper aims at predicting customer churn using Decision Trees, one of the most widely used classification technique based on data mining.


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