Research on Alarm Association Mechanism of Information System Based on FP-growth Algorithm
Yunrui He, Yiying-yan, Yijie-dang, Yingwen-ren, Xinyi-le · Journal of Physics Conference Series · 2020
Abstract With the continuous informatization advancement of State Grid Corporation, the scale of information networks has become increasingly complicated, therefore effective alarm filtering and correlation has become the focus of the operation and maintenance of information system. In this paper, FP-growth algorithm is used to mine the association rules of alarm data in information system. Aiming at the problems of short message gateway pressure, core alarm delay and even omission caused by large-scale network alarm, the calculation method of the confidence is optimized, which solves the problem of confidence calculation distortion caused by frequent alarm term. The experimental results show that the optimized FG-growth algorithm combines the alarm information effectively and has some reference significance for the actual operation and maintenance work.