Telecommunications is one of the most dynamic sectors in market, where customer base an important pawn receive safe revenues, so to focus attention paid maintaining them with active status. Migrating customers from network another varies among telecommunication companies depending on different factors such as call quality, pricing plan, minute consumption, data, sms facilities, billing issues, ...

Turkey has started to distribute Global Services of Mobile (GSM) 900 licences in 1998. Turkcell and Telsim have been the first players in the GSM market and they bought licenses respectively. In 2000, GSM 1800 licenses were bought by ARIA and AYCELL respectively. After then, GSM market has saturated and customers started to switch to other operators to obtain cheap services, number mobility bet...

In the competitive web browser market, identifying potential churners is critical to decreasing loss of existing customers. Churn prediction based on customer behaviors plays a vital role in retention strategies. However, traditional churn algorithms such as Tree-based models cannot exploit temporal characteristics customers behaviors, while sequence explicitly extract information between multi...

Customer Segmentation is the process of grouping the customers based on their purchase habit. Data mining is useful in finding knowledge from huge amounts of data. The clustering techniques in data mining can be used for the customer segmentation process so that it clusters the customers in such a way that the customers in one group behave similar when compared to the customers in the other gro...

Several studies have demonstrated the superior performance of ensemble classification algorithms, whereby multiple member classifiers are combined into one aggregated and powerful classification model, over single models. In this paper, two rotation-based ensemble classifiers are proposed as modeling techniques for customer churn prediction. In Rotation Forests, feature extraction is applied to...

Customer churn is defined as the loss of customers because they move out to competitors. It is an expensive problem in many industries since acquiring new customers costs five to six times more than retaining existing ones [1-4]. In particular, in telecommunication companies, churn costs roughly $10 billion per year [5]. A wide range of supervised machine learning classifiers have been develope...

Customer churn has emerged as a critical issue for Customer Relationship Management and customer retention in the telecommunications industry, thus churn prediction is necessary and valuable to retain the customers and reduce the losses. Moreover, high predictive accuracy and good interpretability of the results are two key measures of a classification model. More studies have shown that single...

One of the most well-studied problems in data mining is mining for association rules. There was also research that introduced association rule mining methods to conduct classification tasks. These classification methods, based on association rule mining, could be applied for customer segmentation. Currently, most of the association rule mining methods are based on a supportconfidence structure,...

An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavior. Traditionally data mining techniques are deployed in order to provide effective recommendation based on large population of customer transactions in real time. Customer transactions are likely to be imprecise and i...