Neural network model for detecting rare patterns in data: a telecommunication example

摘要

Since the liberation of telecommunications industry in the last few years, the industry has changed dramatically. Competition among long distance service providers has become intense. Better services and promotions are offered to customers. Because of the increase in customer choice, there has been an increase in chum rates. Churn, or customer abandonment happens when a customer switches providers for any reasons, such as lower rates or better customer services. Chum in telecommunications is an expensive problem. According to [1], the average of the annual rate of chum is approximately 30% of total telecommunication customers in the US. The estimated cost of finding a new customer is approximately