We study unlimited infinite churn in peer-to-peer overlay networks. Under this churn, arbitrary many peers may concurrently request to join or leave the overlay network; moreover these requests may never stop coming. We prove that unlimited adversarial churn, where processes may just exit the overlay network, is unsolvable. We focus on cooperative churn where exiting processes participate in th...

The availability of abundant data posts a challenge to integrate static customer data and longitudinal behavioral data to improve performance in customer churn prediction. Usually, longitudinal behavioral data are transformed into static data before being included in a prediction model. In this study, a framework with ensemble techniques is presented for customer churn prediction directly using...

The need for telecommunication services has increased dramatically in schools, offices, entertainment, and other areas. On the hand, competition between companies is getting tougher. Customer churn one of areas that each company gains more competitive advantage. This paper proposes a comparison several classification methods to make prediction whether customers cancel subscription service by hi...

With the increasing cost of acquiring new users for e-commerce enterprises, it has become an important task enterprises to actively carry out customer churn management. Therefore, based on distributed gradient enhancement library algorithm (XGBoost), this research proposes a big data analysis study churn. First, conducts evaluation segmentation and combines random forest (RF) build RF XGBoost p...

The Bug resides in the software system causes new bugs damages the software reputation and increases the cost of bug fixing effort. So it is compulsory to know or predict the existence of bug as soon as possible and remove residing bugs timely. In this paper we reviewed the previously used approaches like Code Churn, Fine Grained Source Code Changes (SCC), Fine Grained Bug Severity Prediction a...

Retaining customers is one of the most critical challenges in the maturing mobile telecommunications service industry. Using customer transaction and billing data, this study investigates determinants of customer churn in the Korean mobile telecommunications service market. Results indicate that call quality-related factors influence customer churn; however, customers participating in membershi...

Customer churn prediction is one of the most important elements of any Customer Relationship Management (CRM) strategy. In this study, a number of strategies are investigated to increase the lift of ensemble classification models. In order to increase lift performance, two elements of a number of well-known ensemble strategies are altered: (i) the potential of using probability estimation trees...