Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
Generally data communication is done by using the routing algorithms that uses metrics such as path length, communication cost etc., to determine the optimal path to a destination. This paper approaches the problem of routing in communication network from a new angle by using data mining technologies to determine the optimal path in a network. The new routing model combines several scalable data mining methods, such as decision tree, association rules and neural networks. The model predicts the quality of service in the communication paths, which can be used by routing algorithms to determine the optimal path to a destination.
How to cite this article:
S. Behin Sam , Amna Omar , A. Kannan and P. Vivekanandan . The Application of Data Mining Technologies for Routing in Communication Networks.
DOI: https://doi.org/10.36478/ajit.2006.280.284
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2006.280.284