Research and Application of Network Hazard Analysis System Based on Big Data
The article proposes an application method based on big data technology,which deeply mines network fault hidden dangers by mining strong alarm association rules,and improves the efficiency of fault and hidden danger processing;By constructing a seasonal time series analysis model to reveal the occurrence and development patterns of fault hazards in historical data,effective early warning of faults and hazards can be provided,and fault hazards can be innovated from the traditional passive processing mode to the proactive pre control level.
big data analysisalarm association rulesfault prediction
NETL
NSTL
万方数据
