In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new through various methods. Customer churn is major challenge different industries and companies. Despite initial successful attempts at customers, soon face the fact that may turn away toward rivals. By identifying candidates, will be able guarantee future success by revis...

Customer churn is a major concern for large companies (notably telcos), even in big data world. retention campaigns are routinely used to prevent churn, but targeting the right customers on basis of their historical profile difficult task. Companies usually have recourse two data-driven approaches: prediction and uplift modeling. In prediction, selected propensity near future. modeling, only re...

Competition in the wireless telecommunications industry is rampant. To maintain profitability, wireless carriers must control churn, the loss of subscribers who switch from one carrier to another. We explore statistical techniques for churn prediction and, based on these predictions, an optimal policy for identifying customers to whom incentives should be offered to increase retention. Our expe...

The dynamics of peers, namely Churn, is an inherent property of peer-to-peer (P2P) systems and is critical to their design and evaluation. Although every excellent P2P protocol has some solution to this issue, studies on Churn are still seldom. This paper studies various factors related to Churn, and uses them to analyze and evaluate P2P protocols. Prior researches on Churn are all based on the...

Network coordinate systems have recently been developed as a scalable mechanism to predict latencies among arbitrary Internet hosts. Our research addresses several design challenges of a large-scale decentralized network coordinate system that were not fully addressed in prior work. In particular, we examine the design issues of a decentralized network coordinate system operating in a peer-to-p...