Application Of Data Mining In Communication Network Management System

Modem telecommunication networks are characterized with large scale and complexity. Network fault management focus on monitoring the status of network, which ensures the network to run reliably and efficiently. Currently, our army is lack of network maintenance and management system across comprehensive professional network. Communication network maintenance department is hard to make professional network fault monitoring, orientation and processing. In order to guarantee good forces centralized core business system can stably operated, make the complex business can be fully, unity, timely, accurate monitored and managed, integrated management system of telecommunication network development becomes more important and urgent.Alarms correlation analysis can delete redundant alarms, locate faults and predict faults. Traditional methods can hardly work well when networks are complex and huge. This design is a platform for multiple through more business platform is effectively, unified managed. Facing massive warning data, the data mining technology was applied to alarm correlation analysis, found the alarm correlation of knowledge communication network. The paper studies several key problems including incremental mining of FCI(frequent closed item sets) - CHARM_SM and it's improve updating algorithm CHARM_DM. Simulation results show that alarm data mining are improved significantly , then redundant algorithm for mining association rules is simulated, and maintenance of FCI and non-redundant association rules mining algorithm implemented in alarm data processing applications in military comprehensive communication network.