Research on Alarm System in Wireless Network Based on Mining Association Rules

With the development of telecommunication network, its large scale and complex framework caused the relationship among mass alarms of network elements to become more and more complex. It is necessary to provide network administrator with an approach to implement alarm filtering and fault location. To meet this need, an improved FP-Growth algorithm is given with which a new model is proposed based on mining association rules. Then the paper focuses on the alarm filtering and fault location with the help of these rules. An experiment to check the model and this algorithm is introduced and analyzed at the end of the paper.