Network Fault Predicting Based on Time-series Rules
HU Ming-qi · Computer Knowledge and Technology · 2009
For the problems of continuity,uncertainty and fuzziness in the time-series of the network management alarm database,this pa-per puts forward a new mining method based on time-series rules.The method applies the time-series of the alarm database to predict which alarms cause other alarms.The experiment based on a campus network alarm database shows that many significant time-series rules could be acquired accurately and efficiently from a large amount of network management alarm database,and the probability parameter,confidence and support in this paper,in those rules could be used to guide the fault diagnosis and forecasting of the intelligent network.