  In order to control the process of data mining and focus on the things of
interest to us, many kinds of constraints have been added into the algorithms
of data mining. However, discovering the correlated alarms in the alarm
database needs deep domain constraints. Because the correlated alarms greatly
depend on the logical and physical architecture of networks. Thus we use the
network model as the constraints of algorithms, including Scope constraint,
Inter-correlated constraint and Intra-correlated constraint, in our proposed
algorithm called SMC (Search with Model-based Constraints). The experiments
show that the SMC algorithm with Inter-correlated or Intra-correlated
constraint is about two times faster than the algorithm with no constraints.
