TY  - JOUR
T1  - The Application of Data Mining Technologies for Routing in Communication Networks
AU - , S. Behin Sam AU - , Amna Omar AU - , A. Kannan AU - , P. Vivekanandan 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 3
SP  - 280
EP  - 284
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.280.284
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.280.284
KW  - Data mining
KW  -back propagation neural network
KW  -decision trees
KW  -association rules
AB  - 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.
ER  -