A fuzzy prediction model for calling communities
International Journal of Networking and Virtual Organisations
| Hi-index | 0.00 |
In this paper, we demonstrate how cluster analysis can be used to effectively identify communities using information derived from the Call Detail Record (CDR) data. We use the information extracted from the cluster analysis to identify customer calling patterns. Customers calling patterns are then given to a classification algorithm to generate a classifier model for predicting the calling communities of a customer. We apply two different classification methods: Support vector machine and fuzzy-genetic classifier. The latter method is used for possibly assigning a customer to different classes with different degrees of membership. Thereported test results demonstrate the applicability and effectiveness of the proposed approach.