BigData Analysis and Data Mining

Biography

Biography: Eleni Rozaki

Abstract

Efficient and effective network performance monitoring is a vital part of telecommunications networks. Finding and correcting faults, however, can be very costly. In order to address network issues associated with financial losses a model in business analytics for budget planning is presented. The model that is presented is based on previous work of network fault detection, along with cost considerations and customer segmentation. This work focuses on data mining techniques to show the cost probability of the distribution of network alarms based on budget planning classification rules using predictive analytics to determine the minimum bandwidth costs that are possible with network optimisation. The results of the tests performed show that reductions in optimisation costs are possible; some test cases are clustered, of which the results were used to create a performance -based budget model. The results also find out the clients’ demographics, customers’ churn and simultaneously the financial cost of network optimisation in order to review an efficient budget process and improve expenditure prioritisation