Mobile telecommunication sector has been accelerated with GSM 1800 licenses in the Turkey. Since then, churn management has won vital importance for the GSM operators. Customers should have segmented according to their profitability for the churn management. If we know the profitable customer segments, we have chance to keep in hand the most important customers via the suitable promotions and c...

Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of new attractive offers, the considerable issue customer churn was faced by telecommunication industry. Thus, an efficient Churn Prediction (CP) model is required for monitoring churn. Therefore, this work proposes a novel framework predict through deep learning namely Swish Recurrent Neural Network (S-RN...

A novel approach for customer segmentation based on neural network is proposed in this paper. Customer purchase behavior is considered in the neural network by clustering technique. Compared with existing research, more information is included in the segmentation process. The experimental results indicate that our method is effective in customer segmentation. Key-Words: Neural network, clusteri...

Analysing customers in groups is one of the most fundamental issues in Marketing. It helps companies sufficiently learn from their customers, and rationally design their marketing strategies. Given a customer database with n records (customers) and m attributes (one’s characteristics) stored, different approaches can be applied to automatically segment (cluster) records in divisions. In this pa...

Since the 1980s the concepts of portfolio management have been adopted within the context of understanding business markets. Academics on both sides of the Atlantic have conceptualized and empirically tested a variety of customer and supplier portfolio models. More recently the concept of an indirect portfolio of relationships and its management has also been introduced. This paper reviews the ...

CRM is a kind of implemented model for managing a company’s interactions with their customers. CRM involves the customer classification to understand the behavior of the customer. There is a vital role of the data mining techniques for the classification. This paper presents the concept of one of the data mining technique ART for the customer classification for CRM.

business all around the world uses different approaches to know their customers, segment them and formulate suitable strategies for them. one of these approaches is calculating the value of each customer for the company. in this paper by calculating customer lifetime value (clv) for individual customers of an online toy store named alakdolak, three customer segments are extracted. the level of ...

In the process of user churn modeling, due to imbalance between lost users and retained users, use traditional classification models often cannot accurately comprehensively identify with tendency. To address this issue, it is not sufficient simply increase misclassification cost minority class samples in cost-sensitive methods. This paper proposes using Focal Loss hard example mining technique ...