Metaheuristic based Customer Churn Prediction in Telecom
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 8
Abstract
Churn prediction in telecom has turn into a most important requirement due to the increase in the number of telecom supplier. However owing to the immensity sparsity and unnecessary nature of the data, churn prediction in telecom has always been a difficult task. This paper present a metaheuristic base churn prediction technique that performs churn prediction on massive telecom data. Particle Swarm Optimization algorithm is used as the classifier. Experiments were conducted on the Orange dataset. It was experimental that PSO algorithm mechanism best on churn data providing in effect and more rapidly domino effect.
Authors and Affiliations
T. Sumathi
Keywords
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