|
|
Log information weighted correlation analysis method |
Li Wenzhao1, Dong Xiaowei2, Wang Xin1, Zhao Siliang1 |
1. Chongqing Meteorological Information and Technology Support Center,Chongqing 401147; 2. Chongqing Ceprei Industrial Technology Research Institutes Co.,Ltd.,Chongqing 401331 |
|
|
Abstract According to the characteristics of meteorological service system,such as system level,basic application,database log,etc.,this paper puts forward an analysis and processing method of log information association rules by increasing the positive integer weight,which accords with the basic principle of Apriori.The field data with known association relationship collected by zabbix in the early stage proves that this method is suitable for mining association rules of fault log information.
|
Received: 10 August 2022
|
|
|
|
|
[1] |
刘莉萍,章新友,牛晓录,等.基于Spark的并行关联规则挖掘算法研究综述[J].计算机工程与应用,2019,55(9):1-9.
|
[2] |
刘文雅,徐永能.基于改进Apriori算法的地铁故障关联规则挖掘[J].兵器装备工程学报,2021,42(12):210-215.
|
[3] |
张健,王蔚.基于支持度与置信度阈值优化技术的关联分类算法[J].计算机应用,2007,27(12):3032-3034,3038.
|
|
|
|