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Churn management by using fuzzy c-means
(Bahçeşehir Üniversitesi Fen Bilimleri Enstitüsü, 2011-09) Arifoğlu, Evren; Karahoca, Adem
Nowadays, Global Service of Mobile Communication (GSM) market is a huge sector in nations' economies. Voice quality is an important factor for a customer to choose a GSM operator and hence GSM companies increases their voice quality via 3G technologies. Also there are other factors which affect a consumer to prefer a particular GSM operator. Due to several reasons, customers change their current GSM operators. It is very important for GSM operators to predict if a subscriber will cancel the service and switch to another GSM operator. Therefore, companies that provide GSM services have to monitor the behavior of each subscriber and predict one step ahead. In this study, using fuzzy c-means algorithm, we aim to predict whether a subscriber will change her current GSM operator or not. We also compare fuzzy c-means algorithm with Decision Tree, Nai"ve Bayes and Support Vector Machine and Probabilistic Neural Network. At the end of this study we expect that fuzzy c-means will give best result.