Data mining and event playback on networked information simulation system

Jumbled stored data and long playback time have been plagued networked information simulation system. A model that adopts data mining technique to match key data for event playback was proposed to solve these problems. Based on data mining methods, outliers were detected and high-dimensional data cube was integrated. Combined with the algorithm of BP neural network and the technology of N-elements parallel data acquisition, program for event playback has been constructed. By using the model for particular examples, the data storage and playback time of networked information simulation system were proved to be optimized.