s-To survive in the fierce competition of telecommunication industry and to retain the existing loyal customers, prediction of potential churn customer has become a crucial task for practitioners and academicians through predictive modeling techniques. The identification of loyal customers can be done through efficient predictive models. By allocation of dedicated resources to the retention of these customers would control the flow of dissatisfied consumers thinking to leave the company. This paper proposes artificial neural network approach for prediction of customers intending to switch over to other operators. This model works on multiple attributes like demographic data, billing information and usage patterns from telecom companies data set. In contrast with other prediction techniques, the results from Artificial Neural Networks (ANN) based approach can predict the telecom churn with accuracy of 79% in Pakistan. The results from artificial neural network are clearly indicating the churn factors, hence necessary steps can be taken to eliminate the reasons of churn.
Internet is a useful tool for all in a technologically advanced world. Internet use for education is very important. It is now in practice to teach school to college to get more out of it. In this study, the emphasis is given on the most important success factor that investigates about Internet usage by students of the University, whether it is an effective learning tool for students and teachers and also examines the level of use Internet and whether the Internet is useful for distance learners. The sample of the data is taken from the universities of the twin cities (Islamabad and Rawalpindi). The quantitative technique for data analysis was SPSS. The results reveal that most students find that the Internet knowledge is essential for students and teachers. Above all respondents in the questionnaire that students feel comfortable using the Internet and provides substantial information and half of those surveyed felt that Internet use is difficult in school. Results show that the Internet is easier to use then the collection of research tools, while the Internet is very important. It is recommended that students should align their potential for significant and positive use of the Internet. Further it is recommended also to educate students to use basic Internet tools.
With the intention to meet the increasing demand of future higher bandwidth applications, fiber based Gigabit Passive Optical Network (GPON) access is considered best resolution to deliver triple play services (voice, data, video). Hence, it becomes obligatory to migrate from traditional copperbased network to fiber-based. Due to rapid technological evolution, tough competition and budget limitation the service providers are struggling to provide a cost effective solution to minimize their operational cost with extra ordinary customer satisfaction. One of the factors that increase the cost of overall Fiber To The Home (FTTH) network is the unplanned deployment resulting in utilization of extra components and resources. Hence, it is imperative to determine a suitable technique, which helps to reduce planning process, required time and deployment cost through optimization. Automation based planning is one of the possible ways to automate the network design at probable lowest cost. In this research, a planning technique for migration from copper to fiber access network with a manageable and optimized Passive Optic Network (PON-FTTx) infrastructure is presented identifying a cost-effective strategy for developing countries.
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