Study of the neural network applied to weighted association rules mining
Tongyan Li, Xingming Li · 2007
The mining of weighted association rules is one of the primary methods used in telecommunication alarm correlation analysis, of which weight set is a difficulty. In this study, we propose a novel method which uses neural network to identify the alarm weight. The neural network has three inputs with the key elements which reflect the importance of the telecommunication alarm. After the course of sample training, we will get the link weight. The weight of the neural network may reflect the knowledge of the experts and also can be changed automatically with the different items from the inputs. Modeling and simulation study indicate that compared with other methods of measuring alarm weight, the neural network method has more advantages.