The membership of a banking system depends on the interest provided for account , charges transactions and services account. Now-a- days, many banks provide competitive which give customers options to choose from. This might lead customer dissatisfaction result in deactivation also known as churn. Churn is 'when client cancels company they have been using. In this project we will try predict ch...

In present days there is huge competition between various companies in the industry. Due to this companies pay more attention towards their customers rather than their product. They become aware of customer churn issue. Basically when a customer ceases one’s relationship with the company, this misfortune of relationship is known as customer churn. Various data mining approaches are used to pred...

Nowadays, companies are investing in a well-considered CRM strategy. One of the cornerstones in CRM is customer churn prediction, where one tries to predict whether or not a customer will leave the company. This study focuses on how to better support marketing decision makers in identifying risky customers by using Generalized Additive Models (GAM). Compared to Logistic Regression, GAM relaxes ...

With the fast development of Internet companies throughout the world, customer churn has become a serious concern. To better help the companies retain their customers, it is important to build a customer churn prediction model to identify the customers who are most likely to churn ahead of time. In this paper, we propose a Timesensitive Customer Churn Prediction (TCCP) framework based on Positi...

A churn is defined as the loss of a user in an online social network (OSN). Detecting and analyzing user churn at an early stage helps to provide timely delivery of retention solutions (e.g., interventions, customized services, and better user interfaces) that are useful for preventing users from churning. In this paper we develop a prediction model based on a clustering scheme to analyze the p...

This paper evaluates a metric suite to predict vulnerable Java classes based on how much the design of an application has changed over time. We refer to this concept as design churn in analogy with code churn. Based on a validation on 10 Android applications, we show that several design churn metrics are in fact significantly associated with vulnerabilities. When used to build a prediction mode...

A Network Coordinate (NC) system is an efficient mechanism to predict Internet distance with scalable measurements. In this paper, we focus on the node churn problem – the continuous process of nodes arrival and departure – in distributed applications. Studies on Vivaldi, a representative distributed NC system, show that under node churn the prediction accuracy of the NC system will be seriousl...

In current market scenarios, telecom companies are quite competitive and look forward to have lion’s share in the market by winning new and withholding existing customers. Customers who are lost to competitor are known as Churned customers and can be retain by adopting Churn prevention model. For a given dataset, this model predicts the list of customers to be churned in future enabling the res...

Network coordinates (NC) system is an efficient mechanism to predict Internet distance with scalable measurements. In this paper, we focus on the node churn problem the continuous process of nodes arrival and departure in distributed applications. Studies on Vivaldi, a representative distributed NC system, shows that under node churn the prediction accuracy of the NC system will be seriously im...

The early detection of potential churners enables companies to target these customers using specific retention actions, and subsequently increase profits. This analytical CRM (Customer Relationship Management) approach is illustrated using real-life data of a European pay-TV company. Their very high churn rate has had a devastating effect on their customer base. This paper first develops differ...